Compare commits

..

1 Commits

Author SHA1 Message Date
zhuzihao e9fd51d119 fix(auth): 发码防刷改为按成功计数 + 新增每设备每日发码上限 (#136)
- 修复:发码限流原为原子「判+记」,被单号 60s 冷却挡下的重发也占设备额度
  → 正常用户连点重发可能被误锁 1 小时。改为「先判后记、只对成功发码计数」:
  check 判在真发之前(超限直接 429、不真发),record 只在 send_code 成功后调;
  被单号冷却 / 供应商失败抛 429 时直接返回、不计数。
- 新增:同一设备(device_id)+ IP 每天最多 20 次发码上限,与原每小时 5 次两道闸并存,
  均按成功计数,叠一层日封顶挡低频长时间轰炸。
- 基建:ratelimit.py 新增 RateLimitRule + check_rate_limits / record_rate_limits
  (peek/commit 拆分);原子的 enforce_rate_limit 仍保留给登录爆破(失败也计)不变。
- 测试:补 2 个用例(冷却挡下不占额度 / 每日上限)。

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

---------

Co-authored-by: zzhyyyyy <2685922758@qq.com>
Reviewed-on: #136
Co-authored-by: zhuzihao <zhuzihao@wonderable.ai>
Co-committed-by: zhuzihao <zhuzihao@wonderable.ai>
2026-07-16 09:40:56 +08:00
11 changed files with 252 additions and 218 deletions
+3 -8
View File
@@ -86,12 +86,7 @@ def _success_rates(rows: list) -> dict:
}
def _session_to_row(
r,
phone: str | None = None,
nickname: str | None = None,
ad_revenue_yuan: float | None = None,
) -> dict:
def _session_to_row(r, phone: str | None = None, nickname: str | None = None, ad_revenue_yuan: float = 0.0) -> dict:
"""CouponSession ORM → 明细行 dict(主表「领券数据」与「用户全部领券」抽屉共用)。"""
return {
"id": r.id,
@@ -257,7 +252,7 @@ def coupon_data_report(
items = []
for r in page:
phone, nickname = user_map.get(r.user_id, (None, None)) if r.user_id is not None else (None, None)
items.append(_session_to_row(r, phone, nickname, ad_revenue_yuan=rev_map.get(r.trace_id)))
items.append(_session_to_row(r, phone, nickname, ad_revenue_yuan=rev_map.get(r.trace_id, 0.0)))
return {
"summary": summary,
@@ -281,7 +276,7 @@ def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
).scalar_one()
rev_map = crud_ecpm.revenue_yuan_by_trace(db, [r.trace_id for r in rows])
return {
"items": [_session_to_row(r, ad_revenue_yuan=rev_map.get(r.trace_id)) for r in rows],
"items": [_session_to_row(r, ad_revenue_yuan=rev_map.get(r.trace_id, 0.0)) for r in rows],
"total": int(total),
}
+9 -102
View File
@@ -7,7 +7,7 @@ from __future__ import annotations
from collections import Counter
from datetime import date, datetime, time, timedelta, timezone
from decimal import ROUND_HALF_UP, Decimal, InvalidOperation
from decimal import Decimal, InvalidOperation
from sqlalchemy import case, func, select
from sqlalchemy.orm import Session
@@ -109,23 +109,6 @@ def _date_range(date_from: date, date_to: date) -> list[date]:
return [date_from + timedelta(days=i) for i in range(days + 1)]
def _duration_percentile(sorted_values: list[int], q: float) -> int | None:
"""Linear-interpolated percentile with the same half-up rounding as Math.round."""
if not sorted_values:
return None
if len(sorted_values) == 1:
return sorted_values[0]
index = (len(sorted_values) - 1) * q
lower = int(index)
upper = min(lower + 1, len(sorted_values) - 1)
fraction = Decimal(str(index - lower))
value = (
Decimal(sorted_values[lower]) * (Decimal(1) - fraction)
+ Decimal(sorted_values[upper]) * fraction
)
return int(value.quantize(Decimal("1"), rounding=ROUND_HALF_UP))
def _id_set(db: Session, stmt) -> set[int]:
return {int(v) for v in db.execute(stmt).scalars().all() if v is not None}
@@ -259,46 +242,16 @@ def dashboard_overview(
ComparisonRecord.created_at >= start_local,
ComparisonRecord.created_at < end_local,
)
period_comparison_stats = db.execute(
select(
func.count(ComparisonRecord.id),
func.coalesce(
func.sum(
case(
(ComparisonRecord.status.in_(("success", "failed")), 1),
else_=0,
)
),
0,
),
func.coalesce(
func.sum(
case((ComparisonRecord.status == "cancelled", 1), else_=0)
),
0,
),
func.coalesce(
func.sum(case((ComparisonRecord.status == "success", 1), else_=0)),
0,
),
func.coalesce(func.sum(ComparisonRecord.llm_cost_yuan), 0.0),
).where(*period_comparison_conds)
).one()
period_comparison_total = int(period_comparison_stats[0])
period_comparison_completed = int(period_comparison_stats[1])
period_comparison_cancelled = int(period_comparison_stats[2])
period_comparison_success = int(period_comparison_stats[3])
period_comparison_token_cost_yuan = float(period_comparison_stats[4])
period_comparison_success_denominator = (
period_comparison_total - period_comparison_cancelled
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_success_denominator,
4,
)
if period_comparison_success_denominator > 0
else None
round(period_comparison_success / period_comparison_total, 4)
if period_comparison_total
else 0.0
)
period_saved_positive_count = _count(
ComparisonRecord,
@@ -329,47 +282,6 @@ def dashboard_overview(
if period_avg_duration_ms is not None
else None
)
completed_duration_conds = (
*period_comparison_conds,
ComparisonRecord.status.in_(("success", "failed")),
ComparisonRecord.total_ms.is_not(None),
)
if db.bind is not None and db.bind.dialect.name == "postgresql":
period_median_duration_ms, period_p95_duration_ms = db.execute(
select(
func.percentile_cont(0.5).within_group(ComparisonRecord.total_ms),
func.percentile_cont(0.95).within_group(ComparisonRecord.total_ms),
).where(*completed_duration_conds)
).one()
period_median_duration_ms = (
int(
Decimal(str(period_median_duration_ms)).quantize(
Decimal("1"), rounding=ROUND_HALF_UP
)
)
if period_median_duration_ms is not None
else None
)
period_p95_duration_ms = (
int(
Decimal(str(period_p95_duration_ms)).quantize(
Decimal("1"), rounding=ROUND_HALF_UP
)
)
if period_p95_duration_ms is not None
else None
)
else:
# SQLite 测试环境没有 percentile_cont;仅回退读取耗时单列,不加载完整记录。
completed_durations = list(
db.execute(
select(ComparisonRecord.total_ms)
.where(*completed_duration_conds)
.order_by(ComparisonRecord.total_ms)
).scalars()
)
period_median_duration_ms = _duration_percentile(completed_durations, 0.5)
period_p95_duration_ms = _duration_percentile(completed_durations, 0.95)
ordered_exists = (
select(SavingsRecord.id)
@@ -710,16 +622,11 @@ def dashboard_overview(
},
"comparison": {
"total": period_comparison_total,
"completed": period_comparison_completed,
"cancelled": period_comparison_cancelled,
"success": period_comparison_success,
"success_rate": period_comparison_success_rate,
"ordered": period_ordered_count,
"average_duration_ms": period_avg_duration_ms,
"median_duration_ms": period_median_duration_ms,
"p95_duration_ms": period_p95_duration_ms,
"average_saved_cents": period_avg_saved_cents,
"token_cost_total_yuan": period_comparison_token_cost_yuan,
},
"coupon": {
"started": coupon_started,
+2 -3
View File
@@ -70,9 +70,8 @@ class CouponDataRow(BaseModel):
started_at: datetime = Field(..., description="发起时刻(明细「时间」列)")
claimed_count: int | None = None
trace_url: str | None = Field(None, description="pricebot 公网 trace 链接(仅 completed 有);admin 渲染可点链接,无则显示可复制 trace_id")
ad_revenue_yuan: float | None = Field(
None,
description="本次领券看的信息流广告预估收益(元);按 trace_id 聚合 ad_ecpm_record;无填充记录为 null",
ad_revenue_yuan: float = Field(
0.0, description="本次领券看的信息流广告预估收益(元);按 trace_id 聚合 ad_ecpm_record"
)
+1 -6
View File
@@ -53,16 +53,11 @@ class DashboardPeriodUsers(BaseModel):
class DashboardPeriodComparison(BaseModel):
total: int
completed: int
cancelled: int
success: int
success_rate: float | None = None
success_rate: float
ordered: int
average_duration_ms: int | None = None
median_duration_ms: int | None = None
p95_duration_ms: int | None = None
average_saved_cents: int | None = None
token_cost_total_yuan: float = 0.0
class DashboardPeriodCoupon(BaseModel):
+24 -15
View File
@@ -12,11 +12,16 @@ from __future__ import annotations
import logging
from fastapi import APIRouter, HTTPException, Request, status
from fastapi import APIRouter, HTTPException, Request
from app.api.deps import CurrentUser, DbSession
from app.core import test_account
from app.core.ratelimit import enforce_rate_limit
from app.core.ratelimit import (
RateLimitRule,
check_rate_limits,
enforce_rate_limit,
record_rate_limits,
)
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
@@ -40,9 +45,10 @@ 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。
# 发码防刷(同一设备 device_id + 同一 IP,**只按成功发码计数**;被单号 60s 冷却挡下的重发不占额度):
# 堵「换手机号绕开单号 60s 冷却」的洞 —— 冷却是单号维度,一机换号能绕开。
SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5
SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5 # 每小时上限
SMS_SEND_MAX_PER_DAY_PER_DEVICE = 20 # 每天上限(再叠一层日封顶,挡低频长时间轰炸)
def _login_response(
@@ -99,23 +105,26 @@ def sms_send(req: SmsSendRequest, request: Request) -> SmsSendResponse:
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」的洞(冷却是单号维度,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。
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",
)
# 发码防刷:同一设备(device_id) + 同一 IP,每小时 / 每天两道闸,**均只按成功发码计数**
# 补「换手机号绕开单号 60s 冷却」的洞(冷却是单号维度,一机换号能绕);设备维度按机器封顶,挡短信轰炸/烧钱。
# 关键:被单号 60s 冷却挡下的重发是「没真发、没烧钱」→ 不该占额度。故 check(先判)放在真发之前
# (超限直接 429、不真发),record(计数)只在 send_code 成功后调 —— 冷却/供应商失败抛 429 时直接返回、不计数。
send_rules = [
RateLimitRule("sms-send-device", SMS_SEND_MAX_PER_HOUR_PER_DEVICE, 3600,
"操作过于频繁,请稍后再试"),
RateLimitRule("sms-send-device-daily", SMS_SEND_MAX_PER_DAY_PER_DEVICE, 86400,
"今日验证码发送次数过多,请明天再试"),
]
check_rate_limits(request, subject=req.device_id, rules=send_rules)
try:
cooldown = send_code(req.phone)
except SmsError as e:
raise HTTPException(status_code=e.status_code, detail=str(e)) from e
# 发码成功 → 两道闸各 +1(被单号冷却挡下的重发走不到这里,故不占额度)
record_rate_limits(request, subject=req.device_id, rules=send_rules)
from app.core.config import settings # 局部 import 避免循环
return SmsSendResponse(sent=True, mock=settings.SMS_MOCK, cooldown_sec=cooldown)
+93 -8
View File
@@ -9,29 +9,41 @@ from __future__ import annotations
import threading
import time
from typing import NamedTuple
from fastapi import HTTPException, Request, status
from app.core.config import settings
# key -> (window_start_ts, count)
_buckets: dict[str, tuple[float, int]] = {}
# key -> (window_start_ts, count, window_sec)
# 存每个 key 自己的 window_sec:_buckets 混着不同窗口(60s 广告 / 3600s 登录 / 86400s 日闸)的 key,
# GC 必须按各 key 自己的窗口判过期(见 [_purge_expired]),否则短窗口调用触发的 GC 会误删长窗口 key。
_buckets: dict[str, tuple[float, int, float]] = {}
_lock = threading.Lock()
_GC_THRESHOLD = 10000 # _buckets 超此阈值才顺手清过期 key(仿 sms.py;测试可 monkeypatch 调小强制每次扫)
def _purge_expired(now: float) -> None:
"""清过期 key(**仅在持有 _lock 时调用**)。按每个 key 自己存的 window_sec 判过期,而非调用方的窗口
—— _buckets 是全局共享、混着 60s(广告)/3600s(登录)/86400s(日闸)不同窗口的 key;若用调用方窗口,
高频的 60s 广告端点触发 GC 时会把本该活 3600s/86400s 的登录/日闸计数一并删掉,使其在规模上(超阈值才
触发本清理)被反复清零而失效。仅在超阈值时扫,低频、开销可忽略。"""
if len(_buckets) <= _GC_THRESHOLD:
return
for k in [k for k, (s, _, w) in _buckets.items() if now - s >= w]:
_buckets.pop(k, None)
def _hit(key: str, limit: int, window_sec: float) -> bool:
"""记一次访问。返回 True=放行,False=超限。"""
now = time.monotonic()
with _lock:
start, count = _buckets.get(key, (now, 0))
start, count, _ = _buckets.get(key, (now, 0, window_sec))
if now - start >= window_sec: # 窗口过期,重置
start, count = now, 0
count += 1
_buckets[key] = (start, count)
# 顺手清过期 key,防内存无限涨(低频访问足够)
if len(_buckets) > 10000:
for k in [k for k, (s, _) in _buckets.items() if now - s >= window_sec]:
_buckets.pop(k, None)
_buckets[key] = (start, count, window_sec)
_purge_expired(now) # 顺手清过期 key(按各自窗口),防内存无限涨
return count <= limit
@@ -83,3 +95,76 @@ def enforce_rate_limit(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail=detail,
)
# ===================== 先判 / 后记(只按「成功」计数)=====================
# _hit 是原子「判+记」:一调用就 +1,适合登录爆破(失败尝试也要计)。但对「短信发码」这类
# **只想给成功动作计数**的场景不合适 —— 被单号冷却挡下的重发没真发、没烧钱,不该占额度。
# 故拆成 _peek(只判不记)+ _commit(只记):check_rate_limits 先判 → 动作 → 成功后 record。
class RateLimitRule(NamedTuple):
"""一条限流规则。scope 区分不同闸(不同 key 前缀);同一 (subject, IP) 在 window_sec
内最多 limit 次,超限抛 429 用 detail 文案。
(scope, window_sec) 成对绑在一条规则里 —— check(先判)与 record(计数)复用同一条,
避免两处把窗口/scope 写歪导致 key 对不上。
"""
scope: str
limit: int
window_sec: float
detail: str = "操作过于频繁,请稍后再试"
def _peek(key: str, limit: int, window_sec: float) -> bool:
"""只读:当前窗口内是否还没到上限(count < limit)。**不改计数**。
与 [_commit] 配对实现「先判后记」——只在动作成功后才 _commit。"""
now = time.monotonic()
with _lock:
start, count, _ = _buckets.get(key, (now, 0, window_sec))
if now - start >= window_sec: # 窗口已过期 → 视作已重置(count 归零)
count = 0
return count < limit
def _commit(key: str, window_sec: float) -> None:
"""记一次访问(+1)。窗口过期则以本次为起点重置。仅在动作成功后调用。"""
now = time.monotonic()
with _lock:
start, count, _ = _buckets.get(key, (now, 0, window_sec))
if now - start >= window_sec: # 窗口过期,重置
start, count = now, 0
_buckets[key] = (start, count + 1, window_sec)
_purge_expired(now) # 顺手清过期 key(按各自窗口,同 [_hit])
def check_rate_limits(request: Request, subject: str, rules: list[RateLimitRule]) -> None:
"""【先判】一组限流:任一规则已达上限即抛 429,且**不改计数**。
配合 [record_rate_limits] 实现「只按成功计数」:先 check 所有闸(全未超才继续)→ 执行动作
→ 动作**成功后**再 record。动作被下游挡下(如短信单号冷却)、没真正发生时不 record → 不占额度。
key = `scope:subject:client_ip`(与 [enforce_rate_limit] 同款)。
"""
if not settings.RATE_LIMIT_ENABLED:
return
ip = _client_ip(request)
for rule in rules:
if not _peek(f"{rule.scope}:{subject}:{ip}", rule.limit, rule.window_sec):
raise HTTPException(
status_code=status.HTTP_429_TOO_MANY_REQUESTS,
detail=rule.detail,
)
def record_rate_limits(request: Request, subject: str, rules: list[RateLimitRule]) -> None:
"""【记一次】一组限流(每条规则 +1)。仅在动作成功后调用,与 [check_rate_limits] 配对。
⚠️ check→动作→record 非原子:并发突发下计数可能略超 limit(每个在途请求各 +1)。对
「防脚本/防轰炸」的安全网定位可接受;要精确配额需迁 Redis(见模块 docstring)。
"""
if not settings.RATE_LIMIT_ENABLED:
return
ip = _client_ip(request)
for rule in rules:
_commit(f"{rule.scope}:{subject}:{ip}", rule.window_sec)
+2 -1
View File
@@ -13,7 +13,8 @@ worker / 多机时内存不共享 → 冷却、校验都会失效,届时迁移
防刷两层(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)。
2. 单设备(device_id)+ IP 每小时 / 每天频控(api 层 auth.sms_send 的 check/record_rate_limits,
**只按成功发码计数** —— 被本文件单号冷却挡下的重发不占额度)+ 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)。
⚠️ 原「单号每日上限」2026-07-03 按精简要求删除(mentor 定:登录风控只留单号冷却 + 单设备频控);
-46
View File
@@ -1,15 +1,12 @@
"""Admin M2 读接口测试:大盘聚合 + 用户/流水/提现/反馈列表 + 鉴权拦截。"""
from __future__ import annotations
from datetime import datetime
import pytest
from fastapi.testclient import TestClient
from app.admin.main import admin_app
from app.admin.repositories import admin_user as admin_repo
from app.db.session import SessionLocal
from app.models.comparison import ComparisonRecord
from app.models.feedback import Feedback
from app.models.wallet import CashTransaction, WithdrawOrder
from app.repositories import user as user_repo
@@ -72,49 +69,6 @@ def test_dashboard_overview(admin_client: TestClient, admin_token: str) -> None:
assert "jd_order_count" in data["cps"]
def test_dashboard_period_comparison_is_aggregated_by_backend(
admin_client: TestClient, admin_token: str
) -> None:
created_at = datetime(2037, 1, 15, 12)
rows = [
("dashboard-aggregate-success", "success", 101, 0.1),
("dashboard-aggregate-failed", "failed", 200, 0.2),
("dashboard-aggregate-cancelled", "cancelled", 300, 0.3),
("dashboard-aggregate-running", "running", 400, 0.4),
]
db = SessionLocal()
try:
for trace_id, status, total_ms, llm_cost_yuan in rows:
db.add(
ComparisonRecord(
trace_id=trace_id,
status=status,
total_ms=total_ms,
llm_cost_yuan=llm_cost_yuan,
created_at=created_at,
)
)
db.commit()
finally:
db.close()
response = admin_client.get(
"/admin/api/stats/overview",
params={"date_from": "2037-01-15", "date_to": "2037-01-15"},
headers=_auth(admin_token),
)
assert response.status_code == 200, response.text
comparison = response.json()["period"]["comparison"]
assert comparison["total"] == 4
assert comparison["completed"] == 2
assert comparison["cancelled"] == 1
assert comparison["success"] == 1
assert comparison["success_rate"] == 0.3333
assert comparison["median_duration_ms"] == 151
assert comparison["p95_duration_ms"] == 195
assert comparison["token_cost_total_yuan"] == pytest.approx(1.0)
def test_user_list_and_detail(admin_client: TestClient, admin_token: str) -> None:
uid = _seed_user_with_data("13800000002")
r = admin_client.get("/admin/api/users", headers=_auth(admin_token))
+61
View File
@@ -107,6 +107,67 @@ def test_sms_send_device_ip_rate_limit(client, monkeypatch) -> None:
assert r.status_code == 200, r.text
def test_sms_send_cooldown_reject_not_counted(client, monkeypatch) -> None:
"""发码额度只算「成功发码」:被单号 60s 冷却挡下的重发(429)不占设备额度。
做法:同号狂发只成功 1 次、其余被冷却挡下;把小时额度设 2,证明换号后仍能再成功发 1 次
—— 若冷却重发也计数,额度早被那几次耗尽。"""
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)
ratelimit._buckets.clear()
device = "dev-cooldown"
phone_a = "13710137000"
# 首发成功(小时闸计 1/2)
assert client.post(
"/api/v1/auth/sms/send", json={"phone": phone_a, "device_id": device}
).status_code == 200
# 同号连发 3 次:都被单号 60s 冷却挡下 → 429,且**不占**设备额度
for _ in range(3):
r = client.post(
"/api/v1/auth/sms/send", json={"phone": phone_a, "device_id": device}
)
assert r.status_code == 429, r.text
# 换号再发:设备额度只用了 1/2(冷却那几次没算)→ 仍放行(计到 2/2)
assert client.post(
"/api/v1/auth/sms/send", json={"phone": "13710137001", "device_id": device}
).status_code == 200
# 又换号:此时小时闸已 2/2 → 429(反证成功发码确实各计了 1)
r = client.post(
"/api/v1/auth/sms/send", json={"phone": "13710137002", "device_id": device}
)
assert r.status_code == 429, r.text
def test_sms_send_daily_cap(client, monkeypatch) -> None:
"""每天发码上限(设备 + IP):成功发码累计到日上限即 429(用不同手机号绕开单号冷却)。
抬高小时闸单独测日闸;超限文案含「今日」以便前端提示明天再来。"""
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", 100) # 抬高小时闸,不干扰
monkeypatch.setattr(auth, "SMS_SEND_MAX_PER_DAY_PER_DEVICE", 3)
ratelimit._buckets.clear()
device = "dev-daily"
for i in range(3):
r = client.post(
"/api/v1/auth/sms/send",
json={"phone": f"13720137{i:03d}", "device_id": device},
)
assert r.status_code == 200, f"{i + 1} 次应放行: {r.text}"
# 第 4 次:同设备同 IP 当日超限 → 429
r = client.post(
"/api/v1/auth/sms/send",
json={"phone": "13720137999", "device_id": device},
)
assert r.status_code == 429, r.text
assert "今日" in r.json()["detail"]
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。"""
-29
View File
@@ -43,35 +43,6 @@ def test_coupon_data_report_includes_ad_revenue() -> None:
db.close()
def test_coupon_data_report_distinguishes_unfilled_from_zero_revenue() -> None:
"""无 eCPM 记录返回 None;已填充但 eCPM=0 返回 0.0。"""
db = SessionLocal()
try:
db.add_all([
CouponSession(
trace_id="rev-cp-unfilled", device_id="d-unfilled", status="completed", app_env="prod",
platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
started_at=datetime(2020, 1, 3, tzinfo=UTC), started_date=date(2020, 1, 3),
),
CouponSession(
trace_id="rev-cp-zero", device_id="d-zero", status="completed", app_env="prod",
platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
started_at=datetime(2020, 1, 3, tzinfo=UTC), started_date=date(2020, 1, 3),
),
_ecpm("rev-cp-zero", "0", "cp-sess-zero", "coupon"),
])
db.flush()
res = coupon_data_report(db, date_from="2020-01-03", date_to="2020-01-03", app_env="prod")
rows = {row["trace_id"]: row for row in res["items"]}
assert rows["rev-cp-unfilled"]["ad_revenue_yuan"] is None
assert rows["rev-cp-zero"]["ad_revenue_yuan"] == 0.0
finally:
db.rollback()
db.close()
def test_comparison_list_includes_ad_revenue() -> None:
"""比价记录列表项带本次广告收益;200 分 → 0.002 元。
+57
View File
@@ -0,0 +1,57 @@
"""ratelimit 内存桶过期清理(GC)测试。
回归重点:_buckets 是**全局共享**、混着不同窗口(60s 广告 / 3600s 登录 / 86400s 日闸)的 key。
GC 必须按【每个 key 自己存的 window_sec】判过期,而不是当前调用方的窗口 —— 否则高频的 60s 端点
触发 GC 时会把本该存活更久的 3600s/86400s 计数(如短信日闸)一并删掉,使其被反复清零、限流失效。
用 monkeypatch 把 _GC_THRESHOLD 调 0 强制每次都扫,免造上万条(仿 test_auth 里对 sms._GC_THRESHOLD 的做法)。
"""
from __future__ import annotations
from app.core import ratelimit
def test_purge_expired_respects_each_key_own_window(monkeypatch) -> None:
"""短窗口(60s)触发的 GC 只删真正过期的 key,不得删掉仍在自身窗口内的长窗口 key。"""
monkeypatch.setattr(ratelimit, "_GC_THRESHOLD", 0) # 强制每次都扫
ratelimit._buckets.clear()
now = 1_000_000.0
# 日闸:100s 前开窗、window=86400 → 远未过期,必须保留
ratelimit._buckets["sms-send-device-daily:D:IP"] = (now - 100, 7, 86400.0)
# 登录:1800s、window=3600 → 未过期,保留
ratelimit._buckets["sms-login-device:D:IP"] = (now - 1800, 2, 3600.0)
# 广告:120s、window=60 → 已过期,应删
ratelimit._buckets["ad-watch-report:IP2"] = (now - 120, 3, 60.0)
ratelimit._purge_expired(now)
assert "sms-send-device-daily:D:IP" in ratelimit._buckets
assert "sms-login-device:D:IP" in ratelimit._buckets
assert "ad-watch-report:IP2" not in ratelimit._buckets
def test_purge_expired_keeps_long_window_key_older_than_short_window(monkeypatch) -> None:
"""反证旧 bug:日闸 key 已老于 3600s,旧代码在 60s/3600s 端点触发 GC 时会误删它;
现在按自身 86400s 窗口判 → 未过期 → 必须保留。"""
monkeypatch.setattr(ratelimit, "_GC_THRESHOLD", 0)
ratelimit._buckets.clear()
now = 2_000_000.0
# 3700s 前开窗(> 1 小时),但 window=86400 → 未过期
ratelimit._buckets["sms-send-device-daily:D:IP"] = (now - 3700, 20, 86400.0)
ratelimit._purge_expired(now)
assert "sms-send-device-daily:D:IP" in ratelimit._buckets
def test_purge_expired_noop_below_threshold(monkeypatch) -> None:
"""未超阈值时不扫(即便有过期 key 也不动),避免每次请求都 O(n) 扫全表。"""
monkeypatch.setattr(ratelimit, "_GC_THRESHOLD", 10)
ratelimit._buckets.clear()
now = 3_000_000.0
ratelimit._buckets["stale:IP"] = (now - 999, 1, 60.0) # 早过期,但没超阈值
ratelimit._purge_expired(now)
assert "stale:IP" in ratelimit._buckets # 桶数没超阈值 → 不清理