test(auth): 补 jverify 绑号 401/502 错误分支测试

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

alembic/versions/comparison_llm_cost.py

@@ -1,33 +0,0 @@
-"""comparison_record: llm_cost_yuan + llm_price_snapshot(比价 LLM 调用成本 + 当时单价快照)
-
-回填 llm_calls 时按「当时的价」逐模型算出本次比价 LLM 总成本(元),连同所用单价快照一起冻结到
-记录上;admin 比价记录详情展示实际成本(旧记录 NULL → 前端回退估算)。见 services/llm_cost.py。
-
-Revision ID: comparison_llm_cost
-Revises: ad_ecpm_trace_id
-Create Date: 2026-07-13
-"""
-from collections.abc import Sequence
-
-import sqlalchemy as sa
-from sqlalchemy.dialects import postgresql
-
-from alembic import op
-
-revision: str = "comparison_llm_cost"
-down_revision: str | Sequence[str] | None = "ad_ecpm_trace_id"
-branch_labels: str | Sequence[str] | None = None
-depends_on: str | Sequence[str] | None = None
-
-_JSONB = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
-
-
-def upgrade() -> None:
-    # 均可空、无索引;SQLite 原生支持 ADD COLUMN,无需 batch_alter_table(同 comparison_debug_fields)。
-    op.add_column("comparison_record", sa.Column("llm_cost_yuan", sa.Float(), nullable=True))
-    op.add_column("comparison_record", sa.Column("llm_price_snapshot", _JSONB, nullable=True))
-
-
-def downgrade() -> None:
-    op.drop_column("comparison_record", "llm_price_snapshot")
-    op.drop_column("comparison_record", "llm_cost_yuan")

app/admin/schemas/comparison.py

@@ -36,8 +36,6 @@ class AdminComparisonListItem(BaseModel):
     retry_count: int | None = None
     input_tokens: int | None = None      # Σ usage.prompt_tokens(server 派生)
     output_tokens: int | None = None     # Σ usage.completion_tokens(server 派生)
-    # 本次比价 LLM 总成本(元,按当时价冻结);旧记录/未回填为 None → 前端「成本」列回退估算。见 services/llm_cost.py。
-    llm_cost_yuan: float | None = None
     device_model: str | None = None
     rom_vendor: str | None = None
     rom_name: str | None = None
@@ -74,5 +72,3 @@ class AdminComparisonDetail(AdminComparisonListItem):
     # 原始上报全量;「卡在哪一步」从 raw_payload.platform_results[*].status 读
     # (store_not_found/items_not_found/below_minimum/unsupported = 卡在 找店/加菜/起送/读价)。
     raw_payload: dict | None = None
-    # 算成本所用单价快照 {mode, prices:{model:{...}}}(llm_cost_yuan 继承自列表项)。见 services/llm_cost.py。
-    llm_price_snapshot: dict | None = None

app/api/v1/auth.py

@@ -12,17 +12,19 @@ from __future__ import annotations
 
 import logging
 
-from fastapi import APIRouter, HTTPException, Request
+from fastapi import APIRouter, HTTPException, Request, status
 
 from app.api.deps import CurrentUser, DbSession
 from app.core import test_account
-from app.core.ratelimit import (
-    RateLimitRule,
-    check_rate_limits,
-    enforce_rate_limit,
-    record_rate_limits,
+from app.core.ratelimit import enforce_rate_limit
+from app.core.security import (
+    TokenError,
+    create_bind_ticket,
+    decode_bind_ticket,
+    decode_token,
+    issue_token_pair,
 )
-from app.core.security import TokenError, decode_token, issue_token_pair
+from app.integrations import wxpay
 from app.integrations.jiguang import JiguangError, mask_phone, verify_and_get_phone
 from app.integrations.sms import SmsError, send_code, verify_code
 from app.repositories import onboarding as onboarding_repo
@@ -30,6 +32,7 @@ from app.repositories import user as user_repo
 from app.schemas.auth import (
     JverifyLoginRequest,
     LogoutResponse,
+    OccupiedAccountInfo,
     RefreshRequest,
     SmsLoginRequest,
     SmsSendRequest,
@@ -37,6 +40,11 @@ from app.schemas.auth import (
     TokenPair,
     TokenWithUser,
     UserOut,
+    WechatBindPhoneJverifyRequest,
+    WechatBindPhoneSmsRequest,
+    WechatBindResultResponse,
+    WechatLoginRequest,
+    WechatLoginResponse,
 )
 
 logger = logging.getLogger("shagua.auth")
@@ -45,10 +53,9 @@ 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,**只按成功发码计数**;被单号 60s 冷却挡下的重发不占额度):
+# 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」的洞 —— 冷却是单号维度,一机换号能绕开。
-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)
+SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5
 
 
 def _login_response(
@@ -105,26 +112,23 @@ 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)
 
-    # 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)
+    # 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",
+    )
 
     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)
@@ -175,6 +179,157 @@ def sms_login(req: SmsLoginRequest, request: Request, db: DbSession) -> TokenWit
     return _login_response(user, onboarding_completed=completed)
 
 
+# ===================== 微信登录 =====================
+
+@router.post(
+    "/wechat-login",
+    response_model=WechatLoginResponse,
+    summary="微信登录(openid 命中即登入,否则发绑号令牌)",
+)
+def wechat_login(req: WechatLoginRequest, db: DbSession) -> WechatLoginResponse:
+    from app.core.config import settings  # 局部 import,避免循环
+
+    # 微信登录只需 code→openid(sns/oauth2),不需要商户转账证书;故只校验 APP_ID/SECRET。
+    if not (settings.WECHAT_APP_ID and settings.WECHAT_APP_SECRET):
+        raise HTTPException(status_code=503, detail="wechat login not configured")
+
+    try:
+        info = wxpay.code_to_userinfo(req.code)  # {openid, nickname, avatar_url, raw};失败抛 ValueError
+    except ValueError as e:
+        raise HTTPException(status_code=400, detail=str(e)) from e
+
+    openid = info["openid"]
+    user = user_repo.get_user_by_wechat_openid(db, openid)
+    if user is not None:
+        # openid 命中 → 直接登入(绝不套用提现 bind-wechat 的"撞号即 409"逻辑)
+        if user.status != "active":
+            raise HTTPException(status_code=403, detail="account disabled")
+        user_repo.touch_last_login(db, user)
+        completed = onboarding_repo.is_completed(db, user_id=user.id, device_id=req.device_id)
+        logger.info("wechat_login hit user_id=%d openid=%s*** onboarded=%s", user.id, openid[:6], completed)
+        return WechatLoginResponse(
+            status="logged_in",
+            token=_login_response(user, onboarding_completed=completed),
+        )
+
+    # 未命中 → 签发短时 bind_ticket,进手机号绑定流程(账号此刻还不建)
+    ticket = create_bind_ticket(
+        openid=openid,
+        wechat_nickname=info["nickname"],
+        wechat_avatar_url=info["avatar_url"],
+    )
+    logger.info("wechat_login new openid=%s*** issue bind_ticket", openid[:6])
+    return WechatLoginResponse(
+        status="need_bind_phone",
+        bind_ticket=ticket,
+        wechat_nickname=info["nickname"],
+        wechat_avatar_url=info["avatar_url"],
+    )
+
+
+def _finish_wechat_bind(
+    db,
+    *,
+    openid: str,
+    wechat_nickname: str | None,
+    wechat_avatar_url: str | None,
+    phone: str,
+    device_id: str,
+) -> WechatBindResultResponse:
+    """绑手机建号的公共尾段:手机号被占用 → 返回 phone_occupied(M2 处理 3 选 1);
+    未占用 → 新建微信账号(channel=wechat,昵称头像取微信)→ 签 token 登入。"""
+    existing = user_repo.get_user_by_phone(db, phone)
+    if existing is not None:
+        logger.info("wechat bind phone occupied phone=%s by user_id=%d", mask_phone(phone), existing.id)
+        return WechatBindResultResponse(
+            status="phone_occupied",
+            occupied_account=OccupiedAccountInfo(
+                nickname=existing.nickname,
+                avatar_url=existing.avatar_url,
+                created_at=existing.created_at,
+            ),
+        )
+    user = user_repo.create_wechat_user(
+        db,
+        phone=phone,
+        openid=openid,
+        wechat_nickname=wechat_nickname,
+        wechat_avatar_url=wechat_avatar_url,
+    )
+    completed = onboarding_repo.is_completed(db, user_id=user.id, device_id=device_id)
+    logger.info("wechat bind ok user_id=%d phone=%s openid=%s*** onboarded=%s",
+                user.id, mask_phone(phone), openid[:6], completed)
+    return WechatBindResultResponse(
+        status="logged_in",
+        token=_login_response(user, onboarding_completed=completed),
+    )
+
+
+@router.post(
+    "/wechat/bind-phone/sms",
+    response_model=WechatBindResultResponse,
+    summary="微信登录·其他手机号(短信)绑定",
+)
+def wechat_bind_phone_sms(
+    req: WechatBindPhoneSmsRequest, request: Request, db: DbSession
+) -> WechatBindResultResponse:
+    try:
+        claims = decode_bind_ticket(req.bind_ticket)
+    except TokenError as e:
+        raise HTTPException(status_code=401, detail="授权已过期,请重新用微信登录") from e
+
+    # 防刷:同 sms/login,按 设备+IP 每小时限流(放在验证码校验之前,失败也计数)
+    enforce_rate_limit(
+        request,
+        scope="wechat-bind-sms-device",
+        subject=req.device_id,
+        limit=SMS_LOGIN_MAX_PER_HOUR,
+        window_sec=3600,
+        detail="登录尝试过于频繁,请稍后再试",
+    )
+
+    if not verify_code(req.phone, req.code):
+        raise HTTPException(status_code=400, detail="invalid sms code")
+
+    return _finish_wechat_bind(
+        db,
+        openid=claims["openid"],
+        wechat_nickname=claims["wnk"],
+        wechat_avatar_url=claims["wav"],
+        phone=req.phone,
+        device_id=req.device_id,
+    )
+
+
+@router.post(
+    "/wechat/bind-phone/jverify",
+    response_model=WechatBindResultResponse,
+    summary="微信登录·本机号(极光)绑定",
+)
+def wechat_bind_phone_jverify(
+    req: WechatBindPhoneJverifyRequest, db: DbSession
+) -> WechatBindResultResponse:
+    try:
+        claims = decode_bind_ticket(req.bind_ticket)
+    except TokenError as e:
+        raise HTTPException(status_code=401, detail="授权已过期,请重新用微信登录") from e
+
+    try:
+        phone = verify_and_get_phone(req.login_token)
+    except JiguangError as e:
+        logger.error("[JG] verify+decrypt failed: %s", e, exc_info=True)
+        raise HTTPException(status_code=502, detail=f"jiguang verify failed: {e}") from e
+
+    return _finish_wechat_bind(
+        db,
+        openid=claims["openid"],
+        wechat_nickname=claims["wnk"],
+        wechat_avatar_url=claims["wav"],
+        phone=phone,
+        device_id=req.device_id,
+    )
+
+
 # ===================== Refresh =====================
 
 @router.post("/refresh", response_model=TokenPair, summary="用 refresh_token 换新 token 对")

app/api/v1/compare_record.py

@@ -27,7 +27,6 @@ from app.schemas.compare_record import (
     ComparisonRecordOut,
     ComparisonRecordPage,
 )
-from app.services.llm_cost import compute_llm_cost, get_llm_prices
 from app.services.pricebot_llm_calls import fetch_llm_calls
 
 logger = logging.getLogger("shagua.compare_record")
@@ -82,8 +81,6 @@ def _backfill_llm_calls(record_id: int, trace_id: str) -> None:
         # error 的调用 usage 可能为 None,or {} 兜底)
         rec.input_tokens = sum((c.get("usage") or {}).get("prompt_tokens") or 0 for c in calls)
         rec.output_tokens = sum((c.get("usage") or {}).get("completion_tokens") or 0 for c in calls)
-        # 本次比价 LLM 成本(元)+ 当时单价快照:按 app_config 现价逐模型算好冻结(services/llm_cost.py)。
-        rec.llm_cost_yuan, rec.llm_price_snapshot = compute_llm_cost(calls, get_llm_prices(db))
         db.commit()
         logger.info(
             "backfill llm_calls trace=%s n=%d in_tok=%d out_tok=%d",

app/core/config.py

@@ -44,6 +44,9 @@ class Settings(BaseSettings):
     JWT_ALGORITHM: str = "HS256"
     JWT_ACCESS_TOKEN_EXPIRE_MINUTES: int = 120
     JWT_REFRESH_TOKEN_EXPIRE_DAYS: int = 30
+    # 微信登录未命中 openid 时签发的"待绑手机"令牌有效期(分钟)。
+    # 见 auth.wechat_login / security.create_bind_ticket。
+    WECHAT_BIND_TICKET_EXPIRE_MINUTES: int = 10
 
     # ===== Admin 后台 =====
     # admin 用独立 JWT secret(≠ JWT_SECRET_KEY),App 用户 token 无法越权访问后台。

app/core/config_schema.py

@@ -96,19 +96,4 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
         "group": "首页轮播", "type": "enum", "hidden": True,
         "help": "mixed=真实优先+种子补位(默认);real=只用真实比价记录;seed=只用种子/合成(演示)。",
     },
-    # 比价 LLM 调用成本计价。值是嵌套 JSON(非 str→int),借 dict_str_int 类型在配置页走原始 JSON
-    # 编辑框;set_value 不校验类型,嵌套 JSON 照存。
-    "llm_token_price": {
-        "default": {
-            "per_model": {"qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0}},
-            "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
-            "currency": "CNY", "unit": "per_1m_tokens",
-        },
-        "label": "LLM 模型单价(元/百万 token)",
-        "group": "LLM 成本", "type": "dict_str_int",
-        "help": (
-            "比价 LLM 调用成本计价。JSON:per_model 按模型配 input/output 单价(元/1M token),"
-            "default 兜底未登记的模型。改价只影响之后回填的新记录,历史记录用当时价格快照。"
-        ),
-    },
 }

app/core/ratelimit.py

@@ -9,41 +9,29 @@ 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, 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]] = {}
+# key -> (window_start_ts, count)
+_buckets: dict[str, tuple[float, int]] = {}
 _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, window_sec))
+        start, count = _buckets.get(key, (now, 0))
         if now - start >= window_sec:  # 窗口过期,重置
             start, count = now, 0
         count += 1
-        _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
+        _buckets[key] = (start, count)
+        # 顺手清理过期 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)
     return count <= limit
 
 
@@ -95,76 +83,3 @@ 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)

app/core/security.py

@@ -87,6 +87,45 @@ def issue_token_pair(user_id: int) -> dict[str, Any]:
     }
 
 
+def create_bind_ticket(
+    *, openid: str, wechat_nickname: str | None, wechat_avatar_url: str | None
+) -> str:
+    """微信登录未命中 openid 时,签发短时"待绑手机"令牌,承载 openid + 微信昵称头像。
+
+    typ='wechat_bind'、sub=openid;有效期 settings.WECHAT_BIND_TICKET_EXPIRE_MINUTES 分钟。
+    与 access/refresh 用同一 JWT_SECRET_KEY 签名,靠 typ 区分,decode_bind_ticket 校验 typ。
+    """
+    now = _now()
+    expire = now + timedelta(minutes=settings.WECHAT_BIND_TICKET_EXPIRE_MINUTES)
+    payload: dict[str, Any] = {
+        "sub": openid,
+        "typ": "wechat_bind",
+        "wnk": wechat_nickname,
+        "wav": wechat_avatar_url,
+        "iat": int(now.timestamp()),
+        "exp": int(expire.timestamp()),
+    }
+    return jwt.encode(payload, settings.JWT_SECRET_KEY, algorithm=settings.JWT_ALGORITHM)
+
+
+def decode_bind_ticket(token: str) -> dict[str, Any]:
+    """解析"待绑手机"令牌,校验签名/过期/类型。失败抛 TokenError。
+
+    返回 {'openid': str, 'wnk': str|None, 'wav': str|None}。
+    """
+    try:
+        payload = jwt.decode(token, settings.JWT_SECRET_KEY, algorithms=[settings.JWT_ALGORITHM])
+    except jwt.ExpiredSignatureError as e:
+        raise TokenError("bind ticket expired") from e
+    except jwt.InvalidTokenError as e:
+        raise TokenError(f"invalid bind ticket: {e}") from e
+    if payload.get("typ") != "wechat_bind":
+        raise TokenError(f"wrong token type: want=wechat_bind got={payload.get('typ')}")
+    if "sub" not in payload:
+        raise TokenError("bind ticket missing sub")
+    return {"openid": payload["sub"], "wnk": payload.get("wnk"), "wav": payload.get("wav")}
+
+
 # ===================== 密码 hash(admin 后台账号用)=====================
 # 用户侧是手机号+验证码登录,不存密码;仅 admin 账号用 username+password 登录。
 

app/integrations/sms.py

@@ -13,8 +13,7 @@ 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)+ 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)。
+  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)。
      ⚠️ 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);

app/models/comparison.py

@@ -137,12 +137,6 @@ class ComparisonRecord(Base):
     # 每次 LLM 调用明细 [{scene,model,input_messages,output,usage,latency_ms,error}];
     # server 收上报后按 trace_id 同机拉 pricebot 落库(见 compare_record 端点)。旧记录/未采集为 None。
     llm_calls: Mapped[list | None] = mapped_column(_JSON, nullable=True)
-    # 本次比价 LLM 总成本(元):回填时按「当时的价」逐模型算好冻结(见 services/llm_cost.py)。
-    # 单次亚分级 → float「元」(不用 *_cents)。旧记录/未回填为 None,前端回退「估算成本」。
-    llm_cost_yuan: Mapped[float | None] = mapped_column(Float, nullable=True)
-    # 算成本所用单价快照 {mode, prices:{model:{input_per_1m,output_per_1m,_source}}}:app_config 只存
-    # 当前价、不留历史,故把当时价冻结进来供审计/复算。
-    llm_price_snapshot: Mapped[dict | None] = mapped_column(_JSON, nullable=True)
 
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), server_default=func.now(), index=True, nullable=False

app/repositories/user.py

@@ -86,6 +86,50 @@ def get_user_by_phone(db: Session, phone: str) -> User | None:
     return db.execute(stmt).scalar_one_or_none()
 
 
+def get_user_by_wechat_openid(db: Session, openid: str) -> User | None:
+    stmt = select(User).where(User.wechat_openid == openid)
+    return db.execute(stmt).scalar_one_or_none()
+
+
+def touch_last_login(db: Session, user: User) -> User:
+    """openid 命中登录时更新 last_login_at(手机号登录在 upsert_user_for_login 里已更新)。"""
+    user.last_login_at = datetime.now(timezone.utc)
+    db.commit()
+    db.refresh(user)
+    return user
+
+
+def create_wechat_user(
+    db: Session,
+    *,
+    phone: str,
+    openid: str,
+    wechat_nickname: str | None,
+    wechat_avatar_url: str | None,
+) -> User:
+    """微信登录新建账号:register_channel='wechat';展示昵称/头像取微信(§10 新注册),
+    昵称缺失(微信隐私脱敏返回 None)时退默认昵称。同时保存 wechat_* 源字段。
+
+    openid 唯一约束是并发/重复绑定的最终防线(极罕见,openid 在 wechat-login 刚查过为空)。
+    """
+    now = datetime.now(timezone.utc)
+    user = User(
+        phone=phone,
+        username=_gen_unique_username(db),
+        nickname=wechat_nickname or _gen_nickname(),
+        avatar_url=wechat_avatar_url,
+        register_channel="wechat",
+        wechat_openid=openid,
+        wechat_nickname=wechat_nickname,
+        wechat_avatar_url=wechat_avatar_url,
+        last_login_at=now,
+    )
+    db.add(user)
+    db.commit()
+    db.refresh(user)
+    return user
+
+
 def upsert_user_for_login(
     db: Session,
     *,

app/schemas/auth.py

@@ -102,3 +102,50 @@ class RefreshRequest(BaseModel):
 
 class LogoutResponse(BaseModel):
     ok: bool = True
+
+
+# ===== 微信登录 =====
+
+class WechatLoginRequest(BaseModel):
+    code: str = Field(..., min_length=1, description="微信 App 授权拿到的 code(单次有效)")
+    device_id: str = Field(
+        "", max_length=64,
+        description="硬件级设备标识(Android ANDROID_ID),用于新手引导按 设备+账号 去重;空=按未完成处理",
+    )
+
+
+class WechatLoginResponse(BaseModel):
+    # status="logged_in" → openid 命中,token 有值;"need_bind_phone" → 未命中,bind_ticket 有值
+    status: str
+    token: TokenWithUser | None = None
+    bind_ticket: str | None = None
+    wechat_nickname: str | None = None
+    wechat_avatar_url: str | None = None
+
+
+class OccupiedAccountInfo(BaseModel):
+    """手机号被占用时返回的原账号脱敏展示信息(供 M2 冲突页;M1 客户端仅用于提示)。"""
+    nickname: str | None = None
+    avatar_url: str | None = None
+    created_at: datetime
+
+
+class WechatBindResultResponse(BaseModel):
+    # status="logged_in" → 未占用,已建号登入,token 有值;
+    # "phone_occupied" → 手机号被占用,occupied_account 有值,token 为 None
+    status: str
+    token: TokenWithUser | None = None
+    occupied_account: OccupiedAccountInfo | None = None
+
+
+class WechatBindPhoneSmsRequest(BaseModel):
+    bind_ticket: str = Field(..., min_length=1)
+    phone: str = Field(..., min_length=11, max_length=11, pattern=r"^1\d{10}$")
+    code: str = Field(..., min_length=4, max_length=8)
+    device_id: str = Field("", max_length=64)
+
+
+class WechatBindPhoneJverifyRequest(BaseModel):
+    bind_ticket: str = Field(..., min_length=1)
+    login_token: str = Field(..., min_length=1, description="客户端 loginAuth 拿到的 loginToken")
+    device_id: str = Field("", max_length=64)

app/services/llm_cost.py

@@ -1,53 +0,0 @@
-"""LLM 调用成本计算(纯逻辑,无 DB):按 model 分桶累加 token × 单价,返回总成本(元)+ 价格快照。
-
-用量取自 comparison_record.llm_calls[].usage(pricebot 已归一为 prompt/completion_tokens);
-error / 无 usage 的调用跳过。price_cfg = {per_model:{model:{input_per_1m,output_per_1m}}, default:{...}}。
-成本单位「元」——单次亚分级,用 float(不用 *_cents);snapshot 只含本次用到的模型的价(审计用,
-不存整张价表)。用到但没配价(既无 per_model 又无 default)的模型 → 快照标 unpriced,成本按 0 计。
-"""
-from __future__ import annotations
-
-_PRICE_KEY = "llm_token_price"
-
-
-def get_llm_prices(db) -> dict:
-    """读 LLM 单价配置(app_config;表内无则回退 CONFIG_DEFS 默认)。返回 compute_llm_cost 的 price_cfg。"""
-    from app.repositories import app_config  # 延迟 import:compute_llm_cost 纯逻辑不牵连 DB 层
-    return app_config.get_value(db, _PRICE_KEY)
-
-
-def compute_llm_cost(calls: list[dict], price_cfg: dict) -> tuple[float | None, dict | None]:
-    """遍历 calls 按 model 分桶,cost = Σ(入/1e6*入价 + 出/1e6*出价);无有效调用 → (None, None)。"""
-    if not calls:
-        return None, None
-    per_model = price_cfg.get("per_model") or {}
-    default = price_cfg.get("default")
-    buckets: dict[str, list[int]] = {}  # model -> [Σprompt_tokens, Σcompletion_tokens]
-    for c in calls:
-        if c.get("error"):
-            continue
-        usage = c.get("usage") or {}
-        model = c.get("model") or "unknown"
-        b = buckets.setdefault(model, [0, 0])
-        b[0] += usage.get("prompt_tokens") or 0
-        b[1] += usage.get("completion_tokens") or 0
-    if not buckets:  # 全是 error / 无 usage
-        return None, None
-    total = 0.0
-    prices: dict[str, dict] = {}
-    for model, (tin, tout) in buckets.items():
-        price = per_model.get(model, default)
-        in_p = price.get("input_per_1m") if isinstance(price, dict) else None
-        out_p = price.get("output_per_1m") if isinstance(price, dict) else None
-        # 没配价 / 无 default / 单价残缺或非法(配置页手改 JSON 可能存出脏数据)→ 标记待补价、
-        # 不计入成本;绝不抛异常,以免连累同一回填里的 token/llm_calls 落库。
-        if not isinstance(in_p, (int, float)) or not isinstance(out_p, (int, float)):
-            prices[model] = {"input_per_1m": in_p, "output_per_1m": out_p, "unpriced": True}
-            continue
-        total += tin / 1e6 * in_p + tout / 1e6 * out_p
-        prices[model] = {
-            "input_per_1m": in_p,
-            "output_per_1m": out_p,
-            "_source": "per_model" if model in per_model else "default",
-        }
-    return round(total, 6), {"mode": "per_model", "prices": prices}

docs/database/comparison_record.md

@@ -40,8 +40,6 @@
 | `raw_payload` | JSON(PG: JSONB) | nullable | 客户端原始上报全量(calibration + done.params),取数兜底 |
 | `input_tokens` | Integer | nullable | 本次 LLM 累计输入 token = Σ `llm_calls[].usage.prompt_tokens`(server 收上报后从 `llm_calls` 累加;旧记录/未采集为 null) |
 | `output_tokens` | Integer | nullable | 本次 LLM 累计输出 token = Σ `llm_calls[].usage.completion_tokens`(同上) |
-| `llm_cost_yuan` | Float | nullable | 本次比价 LLM 总成本(元),回填时按「当时价」逐模型算好冻结(见 `services/llm_cost.py`);旧记录/未回填为 null → 前端回退「估算成本」 |
-| `llm_price_snapshot` | JSON(PG: JSONB) | nullable | 算成本所用单价快照 `{mode, prices:{model:{input_per_1m,output_per_1m,_source}}}`;`app_config` 只存当前价、不留历史,故冻结当时价供审计/复算 |
 | `created_at` | DateTime(tz) | server_default now(), index | 时间 |
 
 > `ordered`(已下单)是**瞬态字段**,不在表里:`list_records` 读取时按 `store_name ∈ 该用户 source='compare' 的 savings_record.shop_name 集合` 现挂到实例上供出参用。

scripts/seed_mock_llm_cost.py

@@ -1,248 +0,0 @@
-"""一次性 mock:造带 LLM token 成本的比价记录 + 配好 app_config 模型单价,用于测「管理后端」LLM 成本展示。
-
-覆盖 admin「比价记录」详情抽屉的「LLM 成本」展示分支:
-  • app_config.llm_token_price ← 写一条多模型单价(= 配置页「LLM 成本」卡片「已改」态,get_llm_prices 读它)
-  • comparison_record ← 造 5 条,逐条**复用生产的 compute_llm_cost + 与 _backfill_llm_calls 同款派生**
-    (llm_call_count/retry_count/input_tokens/output_tokens/llm_cost_yuan/llm_price_snapshot),
-    确保 mock 行 = 真实回填产出。5 条刻意覆盖:
-      ① 单模型真实样本(qwen3.5-flash ×4) → ¥0.006184(核对精确值)
-      ② 多模型(flash + plus)          → 快照含两个模型、各自 _source=per_model
-      ③ 未登记模型(deepseek-v3)        → 走 default,快照 _source=default
-      ④ 旧记录(有 token、无 cost)       → llm_cost_yuan=NULL → 前端回退「估算成本」
-      ⑤ 含 error 调用                    → error 那次跳过计费、retry_count+1
-
-记录挂到库里第一个真实用户(admin 列表能显示手机号);无用户则 user_id=NULL(孤儿行,admin 照样全看)。
-created_at 用北京 naive、最近几分钟内错开,详情列表倒序即 ①→⑤ 置顶。
-
-幂等:重跑先按 trace_id 前缀「MOCKLLM-」清旧再建。app_config 单价是 upsert(不随 --clean-only 删,
-因该 key 本就是本需求新增、无历史真实值;要改价直接去配置页或重跑本脚本)。
-
-  python -m scripts.seed_mock_llm_cost              # 造价格 + 5 条记录
-  python -m scripts.seed_mock_llm_cost --clean-only # 只清 MOCKLLM- 记录(保留单价)
-
-验收:admin「比价记录」→ 找 trace「MOCKLLM-」的 5 条 → 点开详情看「LLM 成本」:
-  ①②③⑤ 显示「实际·当时价」+ 价格快照;④ 显示「估算」。
-"""
-from __future__ import annotations
-
-import argparse
-import sys
-from datetime import datetime, timedelta, timezone
-
-from sqlalchemy import delete, select
-
-from app.db.session import SessionLocal
-from app.models.comparison import ComparisonRecord
-from app.models.user import User
-from app.repositories import app_config
-from app.services.llm_cost import compute_llm_cost
-
-if hasattr(sys.stdout, "reconfigure"):
-    sys.stdout.reconfigure(encoding="utf-8")  # Windows 控制台输出中文/¥
-
-_BJ = timezone(timedelta(hours=8))
-ID_PREFIX = "MOCKLLM-"
-
-# ── 写进 app_config 的模型单价(get_llm_prices 读它;配置页「LLM 成本」卡片可再改)──
-PRICE_CFG = {
-    "per_model": {
-        "qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0},
-        "qwen3.5-plus": {"input_per_1m": 4.0, "output_per_1m": 12.0},
-    },
-    "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
-    "currency": "CNY",
-    "unit": "per_1m_tokens",
-}
-
-
-def _c(scene: str, model: str, pin: int, cout: int, error: str | None = None) -> dict:
-    """一条 llm_calls 明细,结构对齐真实 pricebot 归一后契约:
-    {scene, model, input_messages:[{role,content}], output, usage:{prompt/completion/total_tokens},
-     latency_ms, error}(详情抽屉会遍历 input_messages,缺了会崩)。error 的调用无 usage/output。"""
-    return {
-        "scene": scene,
-        "model": model,
-        "error": error,
-        "input_messages": [
-            {"role": "system", "content": f"你是比价助手,负责 {scene} 环节。"},
-            {"role": "user", "content": f"[mock] 请处理本次比价的 {scene} 任务。"},
-        ],
-        "output": None if error else f"[mock] {scene} 环节完成。",
-        "usage": None if error else {
-            "prompt_tokens": pin, "completion_tokens": cout, "total_tokens": pin + cout,
-        },
-        "latency_ms": 780,
-    }
-
-
-# ── 5 条记录蓝本:calls 决定成本;freeze=False 模拟旧记录(有 token 无 cost)──
-RECORDS = [
-    {
-        "label": "①单模型·真实样本",
-        "source": ("美团外卖", 4280), "best": ("京东秒送", 3680),
-        "store": "肯德基(建国路店)", "product": "疯狂星期四全家桶",
-        "info": "在京东秒送找到同款,到手价 ¥36.80,省 ¥6.00",
-        "freeze": True,
-        "calls": [
-            _c("store_match", "qwen3.5-flash", 1512, 22),
-            _c("dish_match", "qwen3.5-flash", 2111, 160),
-            _c("dish_match", "qwen3.5-flash", 1940, 142),
-            _c("summary", "qwen3.5-flash", 1325, 13),
-        ],
-    },
-    {
-        "label": "②多模型·flash+plus",
-        "source": ("淘宝闪购", 5900), "best": ("美团外卖", 5200),
-        "store": "瑞幸咖啡(国贸店)", "product": "生椰拿铁×2、丝绒拿铁",
-        "info": "在美团外卖找到同款,到手价 ¥52.00,省 ¥7.00",
-        "freeze": True,
-        "calls": [
-            _c("store_match", "qwen3.5-flash", 2000, 50),
-            _c("dish_match", "qwen3.5-flash", 1800, 40),
-            _c("reasoning", "qwen3.5-plus", 3000, 500),
-        ],
-    },
-    {
-        "label": "③未登记模型走 default",
-        "source": ("京东秒送", 3100), "best": ("美团外卖", 2650),
-        "store": "麦当劳(soho店)", "product": "麦辣鸡腿堡套餐",
-        "info": "在美团外卖找到同款,到手价 ¥26.50,省 ¥4.50",
-        "freeze": True,
-        "calls": [
-            _c("store_match", "deepseek-v3", 5000, 800),
-        ],
-    },
-    {
-        "label": "④旧记录·有token无成本(回退估算)",
-        "source": ("美团外卖", 3600), "best": ("淘宝闪购", 3200),
-        "store": "华莱士(双井店)", "product": "全鸡汉堡套餐",
-        "info": "在淘宝闪购找到同款,到手价 ¥32.00,省 ¥4.00",
-        "freeze": False,  # 模拟本需求上线前的老记录:llm_cost_yuan=NULL → 前端回退估算
-        "calls": [
-            _c("store_match", "qwen3.5-flash", 2000, 100),
-        ],
-    },
-    {
-        "label": "⑤含 error 调用(跳过计费)",
-        "source": ("淘宝闪购", 4100), "best": ("京东秒送", 3750),
-        "store": "海底捞(合生汇店)", "product": "番茄锅底、肥牛卷",
-        "info": "在京东秒送找到同款,到手价 ¥37.50,省 ¥3.50",
-        "freeze": True,
-        "calls": [
-            _c("store_match", "qwen3.5-flash", 0, 0, error="timeout"),
-            _c("store_match", "qwen3.5-flash", 1500, 30),
-        ],
-    },
-]
-
-_PLATFORM_ID = {  # 展示名 → 平台代号(comparison_results / source/best 列用)
-    "美团外卖": "meituan", "京东秒送": "jd", "淘宝闪购": "taobao",
-}
-
-
-def _naive_bj_now() -> datetime:
-    return datetime.now(_BJ).replace(tzinfo=None)
-
-
-def clean(db) -> int:
-    n = db.execute(
-        delete(ComparisonRecord).where(ComparisonRecord.trace_id.like(f"{ID_PREFIX}%"))
-    ).rowcount or 0
-    db.commit()
-    return n
-
-
-def _build_record(spec: dict, owner_id: int | None, created_at: datetime) -> tuple[ComparisonRecord, float | None]:
-    """按蓝本造一条记录,LLM 派生完全对齐 _backfill_llm_calls;返回 (记录, 冻结成本或 None)。"""
-    calls = spec["calls"]
-    src_name, src_cents = spec["source"]
-    best_name, best_cents = spec["best"]
-
-    # —— 与 _backfill_llm_calls 同款派生 ——
-    llm_call_count = len(calls)
-    retry_count = sum(1 for c in calls if c.get("error"))
-    input_tokens = sum((c.get("usage") or {}).get("prompt_tokens") or 0 for c in calls)
-    output_tokens = sum((c.get("usage") or {}).get("completion_tokens") or 0 for c in calls)
-    if spec["freeze"]:
-        cost, snapshot = compute_llm_cost(calls, PRICE_CFG)  # 复用生产纯函数
-    else:
-        cost, snapshot = None, None  # 旧记录:回填这段代码上线前就有,只有 token 没成本
-
-    rec = ComparisonRecord(
-        user_id=owner_id,
-        device_id=f"{ID_PREFIX.lower()}dev",
-        business_type="food",
-        trace_id=f"{ID_PREFIX}{spec['label'][0]}",  # ①..⑤ 各一,唯一
-        status="success",
-        source_platform_id=_PLATFORM_ID.get(src_name), source_platform_name=src_name,
-        source_price_cents=src_cents,
-        best_platform_id=_PLATFORM_ID.get(best_name), best_platform_name=best_name,
-        best_price_cents=best_cents,
-        saved_amount_cents=src_cents - best_cents,
-        is_source_best=False,
-        store_name=spec["store"],
-        product_names=spec["product"],
-        information=spec["info"],
-        items=[{"name": spec["product"], "qty": 1}],
-        comparison_results=[
-            {"platform_id": _PLATFORM_ID.get(src_name), "platform_name": src_name,
-             "price": src_cents / 100, "is_source": True, "rank": 2},
-            {"platform_id": _PLATFORM_ID.get(best_name), "platform_name": best_name,
-             "price": best_cents / 100, "is_source": False, "rank": 1},
-        ],
-        total_ms=90_000 + llm_call_count * 1000,
-        step_count=llm_call_count * 3,
-        llm_call_count=llm_call_count,
-        retry_count=retry_count,
-        input_tokens=input_tokens,
-        output_tokens=output_tokens,
-        llm_calls=calls,
-        llm_cost_yuan=cost,
-        llm_price_snapshot=snapshot,
-        created_at=created_at,
-    )
-    return rec, cost
-
-
-def seed(db) -> list[tuple[str, float | None]]:
-    app_config.set_value(db, "llm_token_price", PRICE_CFG, admin_id=None)  # upsert 单价
-    owner_id = db.execute(select(User.id).order_by(User.id).limit(1)).scalar()
-    base = _naive_bj_now()
-    out: list[tuple[str, float | None]] = []
-    for i, spec in enumerate(RECORDS):
-        rec, cost = _build_record(spec, owner_id, base - timedelta(minutes=i * 3))
-        db.add(rec)
-        out.append((spec["label"], cost))
-    db.commit()
-    return out, owner_id
-
-
-def main() -> None:
-    parser = argparse.ArgumentParser(description="造带 LLM 成本的比价记录 + app_config 模型单价(测管理后端)")
-    parser.add_argument("--clean-only", action="store_true", help="只清 MOCKLLM- 记录,不重建(保留单价)")
-    args = parser.parse_args()
-
-    db = SessionLocal()
-    try:
-        removed = clean(db)
-        if removed:
-            print(f"🧹 已清理旧 mock 记录 {removed} 条")
-        if args.clean_only:
-            print("✅ 仅清理,已完成(app_config 单价保留)。")
-            return
-
-        results, owner_id = seed(db)
-        print(f"\n✅ 已写入 app_config.llm_token_price(单价)+ {len(results)} 条比价记录"
-              f"(挂 user_id={owner_id or 'NULL(孤儿行)'})")
-        print("\n📋 每条冻结成本(admin 详情「LLM 成本」应显示):")
-        for label, cost in results:
-            shown = "NULL → 前端回退「估算」" if cost is None else f"¥{cost}"
-            print(f"  {label:<20} {shown}")
-        print("\n👉 验收:admin「比价记录」→ trace 搜「MOCKLLM-」→ 点开详情核对 LLM 成本 + 价格快照。")
-        print("   配置页「系统配置」→「福利页」Tab →「LLM 成本」卡片,单价应为「已改」态。")
-    finally:
-        db.close()
-
-
-if __name__ == "__main__":
-    main()

tests/test_auth.py

@@ -107,67 +107,6 @@ 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"第 {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。"""

tests/test_llm_cost.py

@@ -1,184 +0,0 @@
-"""LLM 调用成本计算 compute_llm_cost:按模型分桶累加 token × 单价;error/无 usage 跳过。"""
-from __future__ import annotations
-
-from app.services.llm_cost import compute_llm_cost
-
-_PRICE = {
-    "per_model": {"qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0}},
-    "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
-}
-
-
-def test_sums_per_model_single_model():
-    # 真实样本:4 次 qwen3.5-flash;Σprompt=6888、Σcompletion=337
-    calls = [
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1512, "completion_tokens": 22}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 2111, "completion_tokens": 160}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1940, "completion_tokens": 142}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1325, "completion_tokens": 13}},
-    ]
-    cost, snapshot = compute_llm_cost(calls, _PRICE)
-    # 6888/1e6*0.8 + 337/1e6*2.0 = 0.0055104 + 0.000674 = 0.0061844 → round(6)
-    assert cost == 0.006184
-    assert snapshot == {
-        "mode": "per_model",
-        "prices": {
-            "qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0, "_source": "per_model"},
-        },
-    }
-
-
-def test_multi_model_prices_each_bucket_separately():
-    calls = [
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 0}},
-        {"model": "gpt-x", "error": None, "usage": {"prompt_tokens": 0, "completion_tokens": 1_000_000}},
-    ]
-    price = {
-        "per_model": {
-            "qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0},
-            "gpt-x": {"input_per_1m": 10.0, "output_per_1m": 30.0},
-        },
-        "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
-    }
-    cost, snap = compute_llm_cost(calls, price)
-    assert cost == 30.8  # qwen 1M入×0.8=0.8 + gpt-x 1M出×30=30.0
-    assert set(snap["prices"]) == {"qwen3.5-flash", "gpt-x"}
-
-
-def test_unknown_model_falls_back_to_default():
-    calls = [{"model": "mystery", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 0}}]
-    price = {"per_model": {}, "default": {"input_per_1m": 3.0, "output_per_1m": 15.0}}
-    cost, snap = compute_llm_cost(calls, price)
-    assert cost == 3.0
-    assert snap["prices"]["mystery"]["_source"] == "default"
-
-
-def test_unpriced_model_marked_and_zero_cost():
-    calls = [{"model": "mystery", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 999}}]
-    cost, snap = compute_llm_cost(calls, {"per_model": {}})  # 无 default
-    assert cost == 0.0
-    assert snap["prices"]["mystery"]["unpriced"] is True
-
-
-def test_error_and_missing_usage_calls_skipped():
-    calls = [
-        {"model": "qwen3.5-flash", "error": "boom", "usage": {"prompt_tokens": 9_999_999, "completion_tokens": 9_999_999}},
-        {"model": "qwen3.5-flash", "error": None, "usage": None},  # 无 usage
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 0}},
-    ]
-    cost, _ = compute_llm_cost(calls, _PRICE)
-    assert cost == 0.8  # 只有第 3 条计入
-
-
-def test_empty_or_all_error_returns_none():
-    assert compute_llm_cost([], _PRICE) == (None, None)
-    assert compute_llm_cost(None, _PRICE) == (None, None)
-    all_error = [{"model": "x", "error": "boom", "usage": {"prompt_tokens": 100, "completion_tokens": 100}}]
-    assert compute_llm_cost(all_error, _PRICE) == (None, None)
-
-
-def test_malformed_price_entry_is_treated_as_unpriced_not_raised():
-    # 手改配置页可能存出残缺/非法单价(缺 output_per_1m、非 dict);不能抛异常连累 token 回填。
-    calls = [
-        {"model": "bad-a", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 5}},
-        {"model": "bad-b", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 5}},
-        {"model": "ok", "error": None, "usage": {"prompt_tokens": 1_000_000, "completion_tokens": 0}},
-    ]
-    price = {
-        "per_model": {
-            "bad-a": {"input_per_1m": 0.8},   # 缺 output_per_1m
-            "bad-b": 5,                        # 非 dict
-            "ok": {"input_per_1m": 3.0, "output_per_1m": 15.0},
-        },
-    }
-    cost, snap = compute_llm_cost(calls, price)  # 不得抛异常
-    assert cost == 3.0  # 只有 ok(1M 入 × 3.0)计入;两个残缺项按 unpriced
-    assert snap["prices"]["bad-a"].get("unpriced") is True
-    assert snap["prices"]["bad-b"].get("unpriced") is True
-
-
-def test_get_llm_prices_falls_back_to_default_then_uses_override():
-    from app.db.session import SessionLocal
-    from app.models.app_config import AppConfig
-    from app.repositories import app_config
-    from app.services.llm_cost import get_llm_prices
-
-    db = SessionLocal()
-    try:
-        # 无 override → CONFIG_DEFS 默认(含 per_model / default)
-        prices = get_llm_prices(db)
-        assert "per_model" in prices and "default" in prices
-        # 有 override → 用 DB 值
-        app_config.set_value(
-            db, "llm_token_price",
-            {"per_model": {"m": {"input_per_1m": 1.0, "output_per_1m": 2.0}},
-             "default": {"input_per_1m": 0.0, "output_per_1m": 0.0}},
-            admin_id=1,
-        )
-        assert get_llm_prices(db)["per_model"]["m"]["input_per_1m"] == 1.0
-    finally:
-        row = db.get(AppConfig, "llm_token_price")
-        if row is not None:
-            db.delete(row)
-            db.commit()
-        db.close()
-
-
-def test_backfill_llm_calls_stores_cost_and_snapshot(monkeypatch):
-    from datetime import UTC, datetime
-
-    from app.api.v1 import compare_record
-    from app.db.session import SessionLocal
-    from app.models.app_config import AppConfig
-    from app.models.comparison import ComparisonRecord
-    from app.repositories import app_config
-
-    sample = [
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1512, "completion_tokens": 22}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 2111, "completion_tokens": 160}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1940, "completion_tokens": 142}},
-        {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1325, "completion_tokens": 13}},
-    ]
-    monkeypatch.setattr(compare_record, "fetch_llm_calls", lambda trace_id: sample)
-
-    db = SessionLocal()
-    try:
-        app_config.set_value(
-            db, "llm_token_price",
-            {"per_model": {"qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0}},
-             "default": {"input_per_1m": 3.0, "output_per_1m": 15.0}},
-            admin_id=1,
-        )
-        rec = ComparisonRecord(
-            trace_id="llmcost-bf-1", status="success",
-            created_at=datetime.now(UTC).replace(tzinfo=None),
-        )
-        db.add(rec)
-        db.commit()
-        rid = rec.id
-    finally:
-        db.close()
-
-    compare_record._backfill_llm_calls(rid, "llmcost-bf-1")  # 独立 session 内回填
-
-    db = SessionLocal()
-    try:
-        rec = db.get(ComparisonRecord, rid)
-        assert rec.llm_cost_yuan == 0.006184
-        assert rec.llm_price_snapshot["prices"]["qwen3.5-flash"]["input_per_1m"] == 0.8
-        assert rec.input_tokens == 6888  # 现有 token 派生仍在
-    finally:
-        db.delete(db.get(ComparisonRecord, rid))
-        row = db.get(AppConfig, "llm_token_price")
-        if row is not None:
-            db.delete(row)
-        db.commit()
-        db.close()
-
-
-def test_admin_detail_schema_exposes_llm_cost_fields():
-    from app.admin.schemas.comparison import AdminComparisonDetail
-
-    fields = AdminComparisonDetail.model_fields
-    assert "llm_cost_yuan" in fields
-    assert "llm_price_snapshot" in fields

tests/test_ratelimit.py

@@ -1,57 +0,0 @@
-"""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

tests/test_wechat_login.py

@@ -0,0 +1,198 @@
+"""微信登录 M1 测试:bind_ticket 令牌、wechat-login(openid 命中/未命中)、
+bind-phone(建号/占用/令牌过期)。
+
+沿用 tests/test_auth.py 风格:HTTP 走 client fixture;微信 code→openid 用 monkeypatch
+拦掉(conftest 里 WECHAT_APP_ID/SECRET 是 dummy,不真连微信);短信走 SMS_MOCK(任意 6 位通过)。
+"""
+from __future__ import annotations
+
+import pytest
+
+from app.api.v1 import auth
+from app.core import security
+from app.integrations import wxpay
+
+
+def _fake_userinfo(openid: str, nickname: str | None = "微信昵称", avatar: str | None = "http://x/a.png"):
+    """返回一个可传给 monkeypatch 的假 code_to_userinfo(忽略 code,固定返回给定 openid)。"""
+    def _f(code: str) -> dict:
+        return {"openid": openid, "nickname": nickname, "avatar_url": avatar, "raw": {}}
+    return _f
+
+
+# ===== Task 1: bind_ticket 令牌 =====
+
+def test_bind_ticket_roundtrip() -> None:
+    token = security.create_bind_ticket(openid="oid1", wechat_nickname="昵", wechat_avatar_url="http://a")
+    claims = security.decode_bind_ticket(token)
+    assert claims["openid"] == "oid1"
+    assert claims["wnk"] == "昵"
+    assert claims["wav"] == "http://a"
+
+
+def test_bind_ticket_wrong_type_rejected() -> None:
+    # 用 access token 冒充 bind_ticket → TokenError(typ 不匹配)
+    access, _ = security.create_token(user_id=1, token_type="access")
+    with pytest.raises(security.TokenError):
+        security.decode_bind_ticket(access)
+
+
+def test_bind_ticket_expired_rejected(monkeypatch) -> None:
+    monkeypatch.setattr(security.settings, "WECHAT_BIND_TICKET_EXPIRE_MINUTES", -1)
+    token = security.create_bind_ticket(openid="oid", wechat_nickname=None, wechat_avatar_url=None)
+    with pytest.raises(security.TokenError):
+        security.decode_bind_ticket(token)
+
+
+# ===== Task 2: wechat-login =====
+
+def test_wechat_login_new_openid_returns_bind_ticket(client, monkeypatch) -> None:
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _fake_userinfo("openid_new_1", "小明", "http://x/m.png"))
+    r = client.post("/api/v1/auth/wechat-login", json={"code": "wxcode1", "device_id": "devA"})
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["status"] == "need_bind_phone"
+    assert body["bind_ticket"]
+    assert body["wechat_nickname"] == "小明"
+    assert body["wechat_avatar_url"] == "http://x/m.png"
+    assert body["token"] is None
+
+
+def test_wechat_login_invalid_code_returns_400(client, monkeypatch) -> None:
+    def _raise(code: str) -> dict:
+        raise ValueError("微信授权失败: invalid code")
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _raise)
+    r = client.post("/api/v1/auth/wechat-login", json={"code": "bad", "device_id": "devA"})
+    assert r.status_code == 400, r.text
+
+
+# ===== Task 3: bind-phone/sms =====
+
+def test_wechat_bind_sms_creates_account_then_openid_logs_in(client, monkeypatch) -> None:
+    """未占用 → 建微信账号(channel=wechat,昵称头像取微信);再次同 openid 登录 → 直接登入同一账号。"""
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _fake_userinfo("openid_flow_2", "阿花", "http://x/h.png"))
+    phone = "13900139002"
+
+    # 1) 微信登录 → 未命中 → 拿 ticket
+    r = client.post("/api/v1/auth/wechat-login", json={"code": "c1", "device_id": "devB"})
+    ticket = r.json()["bind_ticket"]
+    assert ticket
+
+    # 2) 短信绑号(SMS_MOCK:任意 6 位通过)→ 建号 + 登入
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/sms",
+        json={"bind_ticket": ticket, "phone": phone, "code": "123456", "device_id": "devB"},
+    )
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["status"] == "logged_in"
+    user = body["token"]["user"]
+    assert user["phone"] == phone
+    assert user["register_channel"] == "wechat"
+    assert user["nickname"] == "阿花"
+    assert user["avatar_url"] == "http://x/h.png"
+    uid = user["id"]
+
+    # 3) 再次微信登录(同 openid)→ 命中 → 直接登入同一账号
+    r = client.post("/api/v1/auth/wechat-login", json={"code": "c2", "device_id": "devB"})
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["status"] == "logged_in"
+    assert body["token"]["user"]["id"] == uid
+
+
+def test_wechat_bind_sms_phone_occupied(client, monkeypatch) -> None:
+    """手机号已被其他账号占用 → 返回 phone_occupied + 原账号信息(不建号)。"""
+    phone = "13900139003"
+    # 先用普通短信登录占用该手机号(register_channel=sms)
+    assert client.post("/api/v1/auth/sms/send", json={"phone": phone}).status_code == 200
+    r = client.post("/api/v1/auth/sms/login", json={"phone": phone, "code": "123456"})
+    assert r.status_code == 200, r.text
+    occupied_nickname = r.json()["user"]["nickname"]
+
+    # 微信登录(新 openid)→ 未命中 → ticket
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _fake_userinfo("openid_occ_3"))
+    ticket = client.post(
+        "/api/v1/auth/wechat-login", json={"code": "c", "device_id": "devC"}
+    ).json()["bind_ticket"]
+
+    # 绑同一手机号 → 占用
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/sms",
+        json={"bind_ticket": ticket, "phone": phone, "code": "123456", "device_id": "devC"},
+    )
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["status"] == "phone_occupied"
+    assert body["token"] is None
+    assert body["occupied_account"]["nickname"] == occupied_nickname
+    assert body["occupied_account"]["avatar_url"] is None  # 短信注册账号无头像 → 序列化为 null
+    assert body["occupied_account"]["created_at"]
+
+
+def test_wechat_bind_sms_expired_ticket_returns_401(client, monkeypatch) -> None:
+    """过期 bind_ticket → 401。"""
+    monkeypatch.setattr(security.settings, "WECHAT_BIND_TICKET_EXPIRE_MINUTES", -1)
+    expired = security.create_bind_ticket(openid="openid_exp", wechat_nickname="x", wechat_avatar_url=None)
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/sms",
+        json={"bind_ticket": expired, "phone": "13900139009", "code": "123456", "device_id": "devD"},
+    )
+    assert r.status_code == 401, r.text
+
+
+# ===== Task 4: bind-phone/jverify =====
+
+def test_wechat_bind_jverify_creates_account(client, monkeypatch) -> None:
+    """本机号(极光)绑定路径:verify_and_get_phone 拦掉,未占用 → 建号登入。"""
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _fake_userinfo("openid_jv_5", "极光用户", None))
+    phone = "13900139005"
+    # 极光 loginToken→手机号 在 auth 模块命名空间打桩(auth.py 顶部 from ...jiguang import verify_and_get_phone)
+    monkeypatch.setattr(auth, "verify_and_get_phone", lambda token: phone)
+
+    ticket = client.post(
+        "/api/v1/auth/wechat-login", json={"code": "c", "device_id": "devE"}
+    ).json()["bind_ticket"]
+
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/jverify",
+        json={"bind_ticket": ticket, "login_token": "jgtoken", "device_id": "devE"},
+    )
+    assert r.status_code == 200, r.text
+    body = r.json()
+    assert body["status"] == "logged_in"
+    user = body["token"]["user"]
+    assert user["phone"] == phone
+    assert user["register_channel"] == "wechat"
+    assert user["nickname"] == "极光用户"
+    # 微信 userinfo 隐私脱敏 avatar=None → 头像为空(客户端兜底默认头像)
+    assert user["avatar_url"] is None
+
+
+def test_wechat_bind_jverify_expired_ticket_returns_401(client, monkeypatch) -> None:
+    """过期 bind_ticket → 401(极光绑号路径,decode 先于极光核验)。"""
+    monkeypatch.setattr(security.settings, "WECHAT_BIND_TICKET_EXPIRE_MINUTES", -1)
+    expired = security.create_bind_ticket(openid="openid_jv_exp", wechat_nickname="x", wechat_avatar_url=None)
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/jverify",
+        json={"bind_ticket": expired, "login_token": "jgtoken", "device_id": "devE"},
+    )
+    assert r.status_code == 401, r.text
+
+
+def test_wechat_bind_jverify_jiguang_error_returns_502(client, monkeypatch) -> None:
+    """极光核验失败(JiguangError)→ 502。"""
+    monkeypatch.setattr(wxpay, "code_to_userinfo", _fake_userinfo("openid_jv_err"))
+
+    def _raise(token: str) -> str:
+        raise auth.JiguangError("mock jg failure")
+
+    monkeypatch.setattr(auth, "verify_and_get_phone", _raise)
+    ticket = client.post(
+        "/api/v1/auth/wechat-login", json={"code": "c", "device_id": "devE"}
+    ).json()["bind_ticket"]
+    r = client.post(
+        "/api/v1/auth/wechat/bind-phone/jverify",
+        json={"bind_ticket": ticket, "login_token": "badtoken", "device_id": "devE"},
+    )
+    assert r.status_code == 502, r.text