美团 feed 改用离线库 + 三 tab 降级兜底(替换 main 的实时版 feed) (#88)

Co-authored-by: lowmaster-chen <1119780489@qq.com>
Co-authored-by: chenshuobo <1119780489@qq.com>
Reviewed-on: #88
Co-authored-by: chenshuobo <chenshuobo@wonderable.ai>
Co-committed-by: chenshuobo <chenshuobo@wonderable.ai>
This commit was merged in pull request #88.
This commit is contained in:
chenshuobo
2026-06-28 10:38:31 +08:00
committed by marco
parent b7b958ed58
commit 1548406f29
11 changed files with 485 additions and 31 deletions
+338 -13
View File
@@ -5,7 +5,8 @@ user.last_login_at / comparison_record.status / withdraw_order.status)要加索
"""
from __future__ import annotations
from datetime import datetime, timedelta, timezone
from datetime import date, datetime, time, timedelta, timezone
from decimal import Decimal, InvalidOperation
from sqlalchemy import func, select
from sqlalchemy.orm import Session
@@ -13,12 +14,27 @@ from sqlalchemy.orm import Session
from app.models.ad_feed_reward import AdFeedRewardRecord
from app.models.ad_reward import AdRewardRecord
from app.models.comparison import ComparisonRecord
from app.models.coupon_state import CouponPromptEngagement
from app.models.cps_order import CpsOrder
from app.models.feedback import Feedback
from app.models.savings import SavingsRecord
from app.models.signin import SigninBoostRecord, SigninRecord
from app.models.user import User
from app.models.wallet import CoinTransaction, WithdrawOrder
_BEIJING = timezone(timedelta(hours=8))
COUPON_REWARD_BIZ_TYPES = ("reward_video", "ad_reward", "coupon", "coupon_reward")
COMPARISON_REWARD_BIZ_TYPES = ("comparison", "compare_reward", "comparison_reward")
EXCLUDED_REWARD_BIZ_TYPES = ("invite_inviter", "invite_invitee", "admin_grant")
UNCLASSIFIED_FEED_BIZ_TYPES = ("feed_ad_reward",)
REGULAR_TASK_EXCLUDED_BIZ_TYPES = (
*COUPON_REWARD_BIZ_TYPES,
*COMPARISON_REWARD_BIZ_TYPES,
*EXCLUDED_REWARD_BIZ_TYPES,
*UNCLASSIFIED_FEED_BIZ_TYPES,
)
MEITUAN_CPS_INVALID_STATUSES = ("4", "5")
MEITUAN_CPS_SETTLED_STATUS = "6"
def _beijing_today_start_utc() -> datetime:
@@ -31,30 +47,87 @@ def _beijing_today_start_utc() -> datetime:
def today_dau(db: Session) -> int:
"""今日活跃用户数(DAU):北京时区今天 0 点后登录过(last_login_at)。
大盘与广告收益报表共用此口径,单一来源避免漂移
⚠️ last_login_at 是单值字段(只存最后一次登录时刻),故只能算「今日」,
无法回溯历史某天的 DAU——调用方按此约束决定历史区间是否展示。
广告收益报表复用这个函数;历史窗口 DAU 由 dashboard_overview 的 period 口径另算
"""
today_start = _beijing_today_start_utc()
return db.execute(
select(func.count(User.id)).where(User.last_login_at >= today_start)
).scalar_one()
return int(
db.execute(select(func.count(User.id)).where(User.last_login_at >= today_start)).scalar_one()
)
def dashboard_overview(db: Session) -> dict:
def _default_period_end() -> date:
"""新版大盘不含今日,默认窗口结束日=北京时间昨天。"""
return datetime.now(_BEIJING).date() - timedelta(days=1)
def _normalize_period(date_from: date | None, date_to: date | None) -> tuple[date, date]:
end = date_to or _default_period_end()
start = date_from or end
if start > end:
start, end = end, start
return start, end
def _period_bounds(date_from: date, date_to: date) -> tuple[datetime, datetime, datetime, datetime]:
"""返回同一北京自然日窗口的 UTC aware 边界和北京 naive 边界。
user.created_at / last_login_at 是 UTC aware 口径;比较/金币等历史上有北京 naive
写入,所以两套边界同时保留。
"""
start_bj = datetime.combine(date_from, time.min, tzinfo=_BEIJING)
end_bj = datetime.combine(date_to + timedelta(days=1), time.min, tzinfo=_BEIJING)
start_utc = start_bj.astimezone(timezone.utc)
end_utc = end_bj.astimezone(timezone.utc)
return (
start_utc,
end_utc,
start_bj.replace(tzinfo=None),
end_bj.replace(tzinfo=None),
)
def _date_range(date_from: date, date_to: date) -> list[date]:
days = (date_to - date_from).days
return [date_from + timedelta(days=i) for i in range(days + 1)]
def _commission_rate_percent(raw: str | None) -> Decimal | None:
"""美团 commissionRate 原值: "300"=3%, "10"=0.1%;也兼容 "3%""""
if raw is None:
return None
s = str(raw).strip()
if not s:
return None
try:
if s.endswith("%"):
return Decimal(s[:-1])
val = Decimal(s)
except (InvalidOperation, ValueError):
return None
return val / Decimal("100")
def dashboard_overview(
db: Session, *, date_from: date | None = None, date_to: date | None = None
) -> dict:
today_start = _beijing_today_start_utc()
period_from, period_to = _normalize_period(date_from, date_to)
start_utc, end_utc, start_local, end_local = _period_bounds(period_from, period_to)
def _count(model, *conds) -> int:
stmt = select(func.count(model.id))
if conds:
stmt = stmt.where(*conds)
return db.execute(stmt).scalar_one()
return int(db.execute(stmt).scalar_one())
def _sum(col, *conds) -> int:
stmt = select(func.coalesce(func.sum(col), 0))
if conds:
stmt = stmt.where(*conds)
return db.execute(stmt).scalar_one()
return int(db.execute(stmt).scalar_one())
def _user_id_set(stmt) -> set[int]:
return {int(v) for v in db.execute(stmt).scalars().all() if v is not None}
# ===== 用户 =====
by_status = dict(
@@ -74,6 +147,204 @@ def dashboard_overview(db: Session) -> dict:
comparison_total = _count(ComparisonRecord)
comparison_success = _count(ComparisonRecord, ComparisonRecord.status == "success")
success_rate = round(comparison_success / comparison_total, 4) if comparison_total else 0.0
period_comparison_conds = (
ComparisonRecord.created_at >= start_local,
ComparisonRecord.created_at < end_local,
)
period_comparison_total = _count(ComparisonRecord, *period_comparison_conds)
period_comparison_success = _count(
ComparisonRecord,
*period_comparison_conds,
ComparisonRecord.status == "success",
)
period_comparison_success_rate = (
round(period_comparison_success / period_comparison_total, 4)
if period_comparison_total
else 0.0
)
period_saved_positive_count = _count(
ComparisonRecord,
*period_comparison_conds,
ComparisonRecord.status == "success",
ComparisonRecord.saved_amount_cents > 0,
)
period_saved_positive_sum = _sum(
ComparisonRecord.saved_amount_cents,
*period_comparison_conds,
ComparisonRecord.status == "success",
ComparisonRecord.saved_amount_cents > 0,
)
period_avg_saved_cents = (
round(period_saved_positive_sum / period_saved_positive_count)
if period_saved_positive_count
else None
)
period_avg_duration_ms = db.execute(
select(func.avg(ComparisonRecord.total_ms)).where(
*period_comparison_conds,
ComparisonRecord.total_ms.is_not(None),
ComparisonRecord.total_ms > 0,
)
).scalar_one()
period_avg_duration_ms = (
round(float(period_avg_duration_ms))
if period_avg_duration_ms is not None
else None
)
ordered_exists = (
select(SavingsRecord.id)
.where(
SavingsRecord.user_id == ComparisonRecord.user_id,
SavingsRecord.source == "compare",
SavingsRecord.shop_name.is_not(None),
SavingsRecord.shop_name == ComparisonRecord.store_name,
)
.exists()
)
period_ordered_count = _count(
ComparisonRecord,
*period_comparison_conds,
ComparisonRecord.store_name.is_not(None),
ordered_exists,
)
# ===== 日期窗口用户 =====
period_new_user_ids = _user_id_set(
select(User.id).where(User.created_at >= start_utc, User.created_at < end_utc)
)
login_user_ids = _user_id_set(
select(User.id).where(User.last_login_at >= start_utc, User.last_login_at < end_utc)
)
compare_user_ids = _user_id_set(
select(ComparisonRecord.user_id).where(*period_comparison_conds)
)
coupon_user_ids = _user_id_set(
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date >= period_from,
CouponPromptEngagement.engage_date <= period_to,
CouponPromptEngagement.engage_type == "claim_started",
)
)
period_active_user_ids = login_user_ids | compare_user_ids | coupon_user_ids
period_retained_new_user_ids = period_new_user_ids & period_active_user_ids
period_retention_rate = (
round(len(period_retained_new_user_ids) / len(period_new_user_ids), 4)
if period_new_user_ids
else None
)
trend_points: list[dict] = []
for cur_date in _date_range(period_from, period_to):
day_start_utc, day_end_utc, day_start_local, day_end_local = _period_bounds(
cur_date, cur_date
)
daily_comparison_conds = (
ComparisonRecord.created_at >= day_start_local,
ComparisonRecord.created_at < day_end_local,
)
daily_login_user_ids = _user_id_set(
select(User.id).where(
User.last_login_at >= day_start_utc,
User.last_login_at < day_end_utc,
)
)
daily_compare_user_ids = _user_id_set(
select(ComparisonRecord.user_id).where(*daily_comparison_conds)
)
daily_coupon_user_ids = _user_id_set(
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date == cur_date,
CouponPromptEngagement.engage_type == "claim_started",
)
)
trend_points.append(
{
"date": cur_date,
"active_users": len(
daily_login_user_ids | daily_compare_user_ids | daily_coupon_user_ids
),
"new_users": _count(
User,
User.created_at >= day_start_utc,
User.created_at < day_end_utc,
),
"comparisons": _count(ComparisonRecord, *daily_comparison_conds),
}
)
period_coin_conds = (
CoinTransaction.created_at >= start_local,
CoinTransaction.created_at < end_local,
CoinTransaction.amount > 0,
)
period_reward_video_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(("reward_video", "ad_reward")),
)
period_feed_ad_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type == "feed_ad_reward",
)
period_signin_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type == "signin",
)
period_signin_boost_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type == "signin_boost",
)
period_task_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.like("task_%"),
)
period_coupon_reward_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(COUPON_REWARD_BIZ_TYPES),
)
period_comparison_reward_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(COMPARISON_REWARD_BIZ_TYPES),
)
period_regular_task_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.notin_(REGULAR_TASK_EXCLUDED_BIZ_TYPES),
)
period_meituan_orders = list(
db.execute(
select(CpsOrder).where(
CpsOrder.pay_time >= start_utc,
CpsOrder.pay_time < end_utc,
)
).scalars()
)
period_meituan_valid_orders = [
o for o in period_meituan_orders if o.mt_status not in MEITUAN_CPS_INVALID_STATUSES
]
period_meituan_hit_count = 0
period_meituan_miss_count = 0
period_meituan_unknown_rate_count = 0
for order in period_meituan_valid_orders:
rate = _commission_rate_percent(order.commission_rate)
if rate is None:
period_meituan_unknown_rate_count += 1
elif rate < Decimal("1"):
period_meituan_miss_count += 1
else:
period_meituan_hit_count += 1
period_meituan_hit_denominator = period_meituan_hit_count + period_meituan_miss_count
period_meituan_hit_rate = (
round(period_meituan_hit_count / period_meituan_hit_denominator, 4)
if period_meituan_hit_denominator
else None
)
return {
"users": {
@@ -132,7 +403,61 @@ def dashboard_overview(db: Session) -> dict:
"success": comparison_success,
"success_rate": success_rate,
},
"feedback": {"new": _count(Feedback, Feedback.status.in_(("pending", "new")))},
# CPS 收入数据源未接(referral-link 只换链接,转化/佣金未回收)→ 前端显示"待接入"。
"cps": {"available": False, "note": "CPS 转化数据未接入(P2)"},
"period": {
"date_from": period_from,
"date_to": period_to,
"users": {
"new": len(period_new_user_ids),
"active": len(period_active_user_ids),
"retained_new_users": len(period_retained_new_user_ids),
"retention_rate": period_retention_rate,
"retention_note": (
"近似口径:登录(last_login_at)+已上报比价记录+领券claim_started;"
"尚不包含未完成上报的比价开始事件"
),
},
"comparison": {
"total": period_comparison_total,
"success": period_comparison_success,
"success_rate": period_comparison_success_rate,
"ordered": period_ordered_count,
"average_duration_ms": period_avg_duration_ms,
"average_saved_cents": period_avg_saved_cents,
},
"coins": {
"granted_total": _sum(CoinTransaction.amount, *period_coin_conds),
"reward_video_coin_total": period_reward_video_coin_total,
"feed_ad_coin_total": period_feed_ad_coin_total,
"signin_coin_total": period_signin_coin_total,
"signin_boost_coin_total": period_signin_boost_coin_total,
"task_coin_total": period_task_coin_total,
"coupon_reward_coin_total": period_coupon_reward_coin_total,
"comparison_reward_coin_total": period_comparison_reward_coin_total,
"regular_task_coin_total": period_regular_task_coin_total,
},
"cash": {
"withdraw_success_cents": _sum(
WithdrawOrder.amount_cents,
WithdrawOrder.status == "success",
WithdrawOrder.created_at >= start_local,
WithdrawOrder.created_at < end_local,
),
},
"trend": trend_points,
},
"feedback": {
"new": _count(Feedback, Feedback.status.in_(("pending", "new"))),
},
"cps": {
"available": True,
"note": "美团 CPS 读 cps_order 对账订单;淘宝/京东佣金暂空",
"meituan_order_count": len(period_meituan_valid_orders),
"meituan_commission_cents": sum(
o.commission_cents or 0 for o in period_meituan_valid_orders
),
"meituan_hit_count": period_meituan_hit_count,
"meituan_miss_count": period_meituan_miss_count,
"meituan_unknown_rate_count": period_meituan_unknown_rate_count,
"meituan_hit_rate": period_meituan_hit_rate,
},
}
+58 -5
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@@ -7,7 +7,7 @@
from __future__ import annotations
import time
from datetime import datetime, timedelta, timezone
from datetime import date as _date, datetime, time as _dt_time, timedelta, timezone
from typing import Annotated
from fastapi import APIRouter, Depends, File, HTTPException, Query, Request, UploadFile
@@ -340,24 +340,77 @@ def generate_referral_links(
# ───────────── 订单对账 ─────────────
_BEIJING = timezone(timedelta(hours=8))
def _parse_day(value: str | None, *, field: str) -> _date | None:
if value is None:
return None
try:
return _date.fromisoformat(value)
except ValueError as e:
raise HTTPException(status_code=422, detail=f"{field} 需为 YYYY-MM-DD") from e
def _reconcile_range_to_ts(
date_from: _date | None, date_to: _date | None, days: int
) -> tuple[int, int]:
if date_from is None and date_to is None:
now = int(time.time())
return now - days * 86400, now
start_day = date_from or date_to
end_day = date_to or date_from
if start_day is None or end_day is None:
raise HTTPException(status_code=422, detail="日期参数不完整")
if start_day > end_day:
start_day, end_day = end_day, start_day
if (end_day - start_day).days + 1 > 90:
raise HTTPException(status_code=422, detail="美团订单查询最长 90 天")
start_dt = datetime.combine(start_day, _dt_time.min, tzinfo=_BEIJING)
end_dt = datetime.combine(end_day + timedelta(days=1), _dt_time.min, tzinfo=_BEIJING)
return int(start_dt.timestamp()), int(end_dt.timestamp())
@router.post("/orders/reconcile", response_model=CpsReconcileResult, summary="拉取美团订单对账")
def reconcile_orders(
request: Request,
admin: Annotated[AdminUser, Depends(require_role("finance"))],
db: AdminDb,
days: Annotated[int, Query(ge=1, le=90)] = 7,
date_from: Annotated[str | None, Query(description="起始日 YYYY-MM-DD")] = None,
date_to: Annotated[str | None, Query(description="结束日 YYYY-MM-DD")] = None,
days: Annotated[int, Query(ge=1, le=90, description="未传日期时默认拉近 N 天")] = 7,
sid: Annotated[str | None, Query(max_length=64)] = None,
query_time_type: Annotated[int, Query(ge=1, le=2)] = 1,
) -> CpsReconcileResult:
now = int(time.time())
start_ts, end_ts = _reconcile_range_to_ts(
_parse_day(date_from, field="date_from"),
_parse_day(date_to, field="date_to"),
days,
)
try:
result = cps_repo.reconcile_orders(
db, start_time=now - days * 86400, end_time=now, sid=sid,
db,
start_time=start_ts,
end_time=end_ts,
query_time_type=query_time_type,
sid=sid,
)
except MeituanCpsError as e:
raise HTTPException(status_code=502, detail=f"美团拉单失败: {e}") from e
write_audit(
db, admin, action="cps.order.reconcile", target_type="cps_order", target_id=None,
detail={"days": days, "sid": sid, **result}, ip=get_client_ip(request), commit=True,
detail={
"date_from": date_from,
"date_to": date_to,
"days": days,
"sid": sid,
"query_time_type": query_time_type,
**result,
},
ip=get_client_ip(request),
commit=True,
)
return CpsReconcileResult(**result)
+11 -3
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@@ -1,7 +1,9 @@
"""admin 数据大盘(只读聚合)。"""
from __future__ import annotations
from fastapi import APIRouter, Depends
from datetime import date
from fastapi import APIRouter, Depends, Query
from app.admin.deps import AdminDb, get_current_admin
from app.admin.repositories import stats
@@ -15,5 +17,11 @@ router = APIRouter(
@router.get("/overview", response_model=DashboardOverview, summary="大盘核心指标")
def overview(db: AdminDb) -> DashboardOverview:
return DashboardOverview.model_validate(stats.dashboard_overview(db))
def overview(
db: AdminDb,
date_from: date | None = Query(None, description="北京时间自然日起始日 YYYY-MM-DD"),
date_to: date | None = Query(None, description="北京时间自然日结束日 YYYY-MM-DD"),
) -> DashboardOverview:
return DashboardOverview.model_validate(
stats.dashboard_overview(db, date_from=date_from, date_to=date_to)
)
+59
View File
@@ -1,6 +1,8 @@
"""admin 大盘 schemas(对应 stats.dashboard_overview 的嵌套结构)。"""
from __future__ import annotations
from datetime import date
from pydantic import BaseModel
@@ -38,6 +40,56 @@ class DashboardComparison(BaseModel):
success_rate: float
class DashboardPeriodUsers(BaseModel):
new: int
active: int
retained_new_users: int
retention_rate: float | None = None
retention_note: str
class DashboardPeriodComparison(BaseModel):
total: int
success: int
success_rate: float
ordered: int
average_duration_ms: int | None = None
average_saved_cents: int | None = None
class DashboardPeriodCoins(BaseModel):
granted_total: int
reward_video_coin_total: int = 0
feed_ad_coin_total: int = 0
signin_coin_total: int = 0
signin_boost_coin_total: int = 0
task_coin_total: int = 0
coupon_reward_coin_total: int = 0
comparison_reward_coin_total: int = 0
regular_task_coin_total: int = 0
class DashboardPeriodCash(BaseModel):
withdraw_success_cents: int
class DashboardTrendPoint(BaseModel):
date: date
active_users: int
new_users: int
comparisons: int
class DashboardPeriod(BaseModel):
date_from: date
date_to: date
users: DashboardPeriodUsers
comparison: DashboardPeriodComparison
coins: DashboardPeriodCoins
cash: DashboardPeriodCash
trend: list[DashboardTrendPoint] = []
class DashboardFeedback(BaseModel):
new: int
@@ -45,6 +97,12 @@ class DashboardFeedback(BaseModel):
class DashboardCps(BaseModel):
available: bool
note: str
meituan_order_count: int = 0
meituan_commission_cents: int = 0
meituan_hit_count: int = 0
meituan_miss_count: int = 0
meituan_unknown_rate_count: int = 0
meituan_hit_rate: float | None = None
class DashboardOverview(BaseModel):
@@ -52,5 +110,6 @@ class DashboardOverview(BaseModel):
coins: DashboardCoins
cash: DashboardCash
comparison: DashboardComparison
period: DashboardPeriod
feedback: DashboardFeedback
cps: DashboardCps
+1
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@@ -19,6 +19,7 @@ from app.models.coupon_state import ( # noqa: F401
CouponDailyCompletion,
CouponPromptEngagement,
)
from app.models.cps_order import CpsOrder # noqa: F401
from app.models.feedback import Feedback # noqa: F401
from app.models.invite import InviteRelation # noqa: F401
from app.models.invite_fingerprint import InviteFingerprint # noqa: F401
+2
View File
@@ -123,6 +123,7 @@ class ComparisonRecordIn(BaseModel):
# pricebot done.params.trace_url 原样上报,落库供记录页「复制调试链接」(dir 名含落盘
# 时分秒前端拼不出,必须由后端透传)。
trace_url: str | None = Field(None, description="本次比价公网调试链接")
total_ms: int | None = Field(None, description="整场比价墙钟耗时(ms)")
# ===== debug 维度(客户端采集上报;旧客户端不带 → None。仅 admin 比价记录页用)=====
# 必须显式声明,否则 model_dump() 落 raw_payload 时被 pydantic 静默丢弃(同上面 coupon_saved 的坑)。
@@ -172,6 +173,7 @@ class ComparisonRecordOut(BaseModel):
items: list = []
comparison_results: list = []
skipped_dish_names: list = []
total_ms: int | None = None
# 「已下单」(店级):该店名在该用户真实下单(source='compare')里出现过即 True。
# 由 list_records 动态算出挂在 ORM 实例上(非 DB 列),from_attributes 读出;缺省 False。
ordered: bool = False
@@ -37,7 +37,7 @@ B 安装并首启 App
└─ POST /api/v1/invite/bind { invite_code, channel="clipboard" }
后端 repositories/invite.py bind()
└─ 过四道防线 → 建 invite_relation + 给 A、B 各发金币(同事务原子提交)
└─ 过四道防线 → 建 invite_relation(邀请金币已下线,不写金币流水)
```
手动填码这条:B 在邀请页输码 → `InviteRepository.bindManual()``POST /bind { channel="manual" }` → 同一个 `bind()`
@@ -52,20 +52,20 @@ B 安装并首启 App
|---|---|
| 端点 | `app/api/v1/invite.py`:`GET /api/v1/invite/me`(返回 `invite_code` + `share_url` + 战绩)、`POST /api/v1/invite/bind`(绑定,`channel` = `clipboard` / `manual`)。**均需 Bearer 鉴权**。 |
| share_url 构造 | `invite.py``my_invite`:`settings.INVITE_LANDING_URL + "?ref=" + code``INVITE_LANDING_URL``app/core/config.py`(默认 `https://app-api.shaguabijia.com/media/dl.html`)。 |
| 业务逻辑 | `app/repositories/invite.py`:`ensure_code`(懒生成 6 位邀请码,去混淆字符集,唯一约束碰撞则换码)/ `resolve_inviter`(邀请码→邀请人,大小写不敏感)/ `bind`(下面详述)/ `get_stats`(已邀人数 + 累计金币)。 |
| 业务逻辑 | `app/repositories/invite.py`:`ensure_code`(懒生成 6 位邀请码,去混淆字符集,唯一约束碰撞则换码)/ `resolve_inviter`(邀请码→邀请人,大小写不敏感)/ `bind`(下面详述)/ `get_stats`(已邀人数 + 兼容累计金币字段,当前恒为 0)。 |
| 数据模型 | `app/models/invite.py``InviteRelation`(`inviter_user_id` / `invitee_user_id` / `channel` / `status` / `inviter_coin` / `invitee_coin` / `created_at`)+ `app/models/user.py``User.invite_code` 列。 |
| 迁移 | `alembic/versions/invite_code_and_relation.py`:给 `user``invite_code`(唯一索引)+ 建 `invite_relation` 表。`down_revision = 11a1d08c6f55`。 |
| 收发模型 | `app/schemas/invite.py`:`InviteInfoOut` / `BindInviteIn` / `BindInviteOut`。 |
| 奖励常量 | `app/core/rewards.py`:`INVITE_INVITER_COINS` / `INVITE_INVITEE_COINS`(各 10000 = 1 元)、`INVITE_NEW_USER_WINDOW_HOURS`(72)。 |
| 新人窗口 | `app/core/rewards.py`:`INVITE_NEW_USER_WINDOW_HOURS`(72)。邀请金币已下线,不再配置邀请金币常量。 |
**`bind()` 的四道防线(防重复 / 防刷,看 `repositories/invite.py`):**
1. **被邀请人唯一**:`invitee_user_id` 唯一约束 → 一个 B 只能被绑一次(幂等键,重复返回 `already_bound`,不重复发奖)。
1. **被邀请人唯一**:`invitee_user_id` 唯一约束 → 一个 B 只能被绑一次(幂等键,重复返回 `already_bound`,不重复绑定)。
2. **自邀屏蔽**:`inviter == invitee``self_invite`
3. **新人闸**:`_is_new_user`(B 的 `created_at``INVITE_NEW_USER_WINDOW_HOURS` = 72h 内)才发奖,挡存量老用户互相填码薅羊毛 → 否则 `not_eligible`
3. **新人闸**:`_is_new_user`(B 的 `created_at``INVITE_NEW_USER_WINDOW_HOURS` = 72h 内)才生效,挡存量老用户互相填码刷关系 → 否则 `not_eligible`
4. **手机号唯一**(天然限量):每个 B = 一个真实手机号账号。
发金币复用 `repositories/wallet.py``grant_coins`,与建关系记录在**同一事务**提交,保证"建关系 + 双方加金币"原子
邀请金币已下线:`bind()` 只记录绑定关系,不再写 `coin_transaction`;响应里的金币字段保留兼容旧客户端,当前恒为 0
### 3.2 前端(shaguabijia-app-android)
@@ -120,7 +120,7 @@ B 安装并首启 App
### 4.4 测试硬约束 / 坑(都是机制,不是 bug)
- **B 必须用新手机号**:`invitee_user_id` 唯一,一个 B 只能绑一次;反复测要换号(或手删 `invite_relation` 那行 + 回滚金币)。
- **72h 新人闸**:B 注册后 72 小时内绑才发奖(刚注册肯定满足)。
- **72h 新人闸**:B 注册后 72 小时内绑定才生效(刚注册肯定满足)。
- **A ≠ B**:自邀被屏蔽。
- **B 从点下载到首启 App 之间别复制别的东西**:剪贴板会被覆盖 → 归因丢(剪贴板 deferred deeplink 的固有脆弱性)。
- **笔记本 IP 别变**:debug 包把 `BASE_URL` 的 IP 烧死在编译期,DHCP 一换就连不上 → 给笔记本固定个 LAN IP。
+2 -1
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@@ -305,11 +305,12 @@ def test_feed_reward_grants_by_10_second_units(client) -> None:
"duration_seconds": 30,
"adn": "pangle",
"slot_id": "slot_feed",
"display_coin": 4,
}
r = client.post("/api/v1/ad/feed-reward", json=payload, headers=_auth(token))
assert r.status_code == 200, r.text
body = r.json()
expected = sum(calculate_ad_reward_coin("200", i) for i in range(1, 4))
expected = 4
assert body["granted"] is True
assert body["status"] == "granted"
assert body["unit_count"] == 3
+2 -1
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@@ -64,7 +64,8 @@ def test_dashboard_overview(admin_client: TestClient, admin_token: str) -> None:
assert data["users"]["total"] >= 1
assert data["coins"]["granted_total"] >= 5000
assert "success_rate" in data["comparison"]
assert data["cps"]["available"] is False
assert data["cps"]["available"] is True
assert "meituan_order_count" in data["cps"]
def test_user_list_and_detail(admin_client: TestClient, admin_token: str) -> None:
+3
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@@ -44,6 +44,7 @@ def _food_payload(trace_id: str) -> dict:
"skipped_dish_names": ["黑牛肉卷"],
"total_dish_count": 3,
"information": "在美团找到同店,到手价 ¥123.50",
"total_ms": 12345,
}
@@ -71,6 +72,8 @@ def test_report_and_derive(client) -> None:
assert d["information"] == "在美团找到同店,到手价 ¥123.50"
assert d["store_name"] == "海底捞(朝阳店)"
assert d["total_dish_count"] == 3
assert d["total_ms"] == 12345
assert d["raw_payload"]["total_ms"] == 12345
assert d["skipped_dish_count"] == 1
assert d["skipped_dish_names"] == ["黑牛肉卷"]
assert len(d["comparison_results"]) == 3
+2 -1
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@@ -52,7 +52,8 @@ def call_raw(path: str, body_obj: dict) -> dict:
}
url = f"{settings.MT_CPS_HOST}{path}"
t0 = time.time()
resp = httpx.post(url, content=body, headers=headers, timeout=settings.MT_CPS_TIMEOUT_SEC)
# trust_env=False: 美团是国内域名,强制直连绕开本机代理(代理会掐断 TLS 握手,报 SSL EOF)
resp = httpx.post(url, content=body, headers=headers, timeout=settings.MT_CPS_TIMEOUT_SEC, trust_env=False)
ms = int((time.time() - t0) * 1000)
try:
j = resp.json()