test(welfare): 不活跃测试加 autouse 隔离夹具(清零余额+清活跃事件/审计),去掉临时 band-aid

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

alembic/versions/135e79414fd0_add_inactivity_tables.py

@@ -0,0 +1,68 @@
+"""add inactivity tables
+
+Revision ID: 135e79414fd0
+Revises: comparison_llm_cost
+Create Date: 2026-07-16 18:31:02.105929
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '135e79414fd0'
+down_revision: Union[str, Sequence[str], None] = 'comparison_llm_cost'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "inactivity_reset_log",
+        sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
+        sa.Column("user_id", sa.Integer(), nullable=False),
+        sa.Column("coin_balance_before", sa.Integer(), nullable=False),
+        sa.Column("cash_balance_cents_before", sa.Integer(), nullable=False),
+        sa.Column("invite_cash_balance_cents_before", sa.Integer(), nullable=False),
+        sa.Column("last_active_at", sa.DateTime(timezone=True), nullable=True),
+        sa.Column("inactive_days", sa.Integer(), nullable=False),
+        sa.Column("reason", sa.String(length=32), nullable=False),
+        sa.Column("reset_at", sa.DateTime(timezone=True),
+                  server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    with op.batch_alter_table("inactivity_reset_log", schema=None) as batch_op:
+        batch_op.create_index(batch_op.f("ix_inactivity_reset_log_user_id"), ["user_id"], unique=False)
+        batch_op.create_index(batch_op.f("ix_inactivity_reset_log_reset_at"), ["reset_at"], unique=False)
+
+    op.create_table(
+        "inactivity_notification_log",
+        sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
+        sa.Column("user_id", sa.Integer(), nullable=False),
+        sa.Column("stage", sa.Integer(), nullable=False),
+        sa.Column("inactive_days", sa.Integer(), nullable=False),
+        sa.Column("coin_balance", sa.Integer(), nullable=False),
+        sa.Column("cash_balance_cents", sa.Integer(), nullable=False),
+        sa.Column("invite_cash_balance_cents", sa.Integer(), nullable=False),
+        sa.Column("channel", sa.String(length=16), nullable=False),
+        sa.Column("status", sa.String(length=16), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True),
+                  server_default=sa.text("(CURRENT_TIMESTAMP)"), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    with op.batch_alter_table("inactivity_notification_log", schema=None) as batch_op:
+        batch_op.create_index(batch_op.f("ix_inactivity_notification_log_user_id"), ["user_id"], unique=False)
+        batch_op.create_index(batch_op.f("ix_inactivity_notification_log_created_at"), ["created_at"], unique=False)
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("inactivity_notification_log", schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f("ix_inactivity_notification_log_created_at"))
+        batch_op.drop_index(batch_op.f("ix_inactivity_notification_log_user_id"))
+    op.drop_table("inactivity_notification_log")
+    with op.batch_alter_table("inactivity_reset_log", schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f("ix_inactivity_reset_log_reset_at"))
+        batch_op.drop_index(batch_op.f("ix_inactivity_reset_log_user_id"))
+    op.drop_table("inactivity_reset_log")

alembic/versions/ad_ecpm_trace_id.py

@@ -0,0 +1,44 @@
+"""ad_ecpm_record.trace_id(展示收益归属到比价/领券 trace)
+
+信息流(Draw)展示 eCPM 上报时带上本场比价/领券 trace_id,落此列;领券数据 / 比价记录看板
+按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端为 NULL。
+
+本迁移原以 (11c44afbea58, merge_pages_override_coupon_slot) 为双亲、顺带收敛双 head,
+但与它并行落 main 的 merge_selfstat_coupon_slot 已用同一对双亲做了纯收敛 → 同一对
+父节点出现两个收敛点、main 上又成双 head。故重挂到该 merge 之后成单链(仅改链接、
+schema 改动不变;两文件都保留,已 stamp 在 merge 上的库可直接线性升级)。
+
+Revision ID: ad_ecpm_trace_id
+Revises: merge_selfstat_coupon_slot
+Create Date: 2026-07-10
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision: str = "ad_ecpm_trace_id"
+down_revision: Union[str, Sequence[str], None] = "merge_selfstat_coupon_slot"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # SQLite 下 ADD COLUMN(可空)与 CREATE INDEX 均原生支持,无需 batch_alter_table
+    # (同 ad_feed_reward_trace_id 迁移)。
+    op.add_column(
+        "ad_ecpm_record",
+        sa.Column("trace_id", sa.String(length=64), nullable=True),
+    )
+    op.create_index(
+        op.f("ix_ad_ecpm_record_trace_id"),
+        "ad_ecpm_record",
+        ["trace_id"],
+        unique=False,
+    )
+
+
+def downgrade() -> None:
+    op.drop_index(op.f("ix_ad_ecpm_record_trace_id"), table_name="ad_ecpm_record")
+    op.drop_column("ad_ecpm_record", "trace_id")

alembic/versions/comparison_llm_cost.py

@@ -0,0 +1,33 @@
+"""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")

alembic/versions/merge_selfstat_coupon_slot.py

@@ -0,0 +1,29 @@
+"""合并两个 alembic head:11c44afbea58(#127 埋点健康度 selfstat)+ merge_pages_override_coupon_slot(#130 自带的合并迁移)。
+
+三条分支都从 admin_user_plain_password 分叉(#126 权限 / #127 selfstat / #130 领券成功率)。
+#130 自带的 merge 创建时本地 main 尚无 #127 的 11c44afbea58,只收敛了 #126 + 自身两条,
+#130 合入后 main 上仍留两个 head → `alembic upgrade head`(单数,部署/run.sh 用)直接报错、服务起不来。
+本迁移仅把二者收敛成单 head;**不含任何表结构 / 数据改动**(纯 merge)。
+
+Revision ID: merge_selfstat_coupon_slot
+Revises: 11c44afbea58, merge_pages_override_coupon_slot
+Create Date: 2026-07-10 00:00:00.000000
+"""
+
+from collections.abc import Sequence
+
+revision: str = "merge_selfstat_coupon_slot"
+down_revision: str | Sequence[str] | None = (
+    "11c44afbea58",
+    "merge_pages_override_coupon_slot",
+)
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    """纯合并 head,无 schema 改动。"""
+
+
+def downgrade() -> None:
+    """拆回两个 head,无 schema 改动。"""

app/admin/repositories/coupon_data.py

@@ -18,6 +18,7 @@ from sqlalchemy.orm import Session
 from app.core import rewards
 from app.models.coupon_state import CouponClaimRecord, CouponSession
 from app.models.user import User
+from app.repositories import ad_ecpm as crud_ecpm
 from app.repositories.coupon_state import DEFAULT_PLATFORMS, coupon_id_to_platform
 
 
@@ -85,7 +86,7 @@ def _success_rates(rows: list) -> dict:
     }
 
 
-def _session_to_row(r, phone: str | None = None, nickname: str | 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,
@@ -104,6 +105,7 @@ def _session_to_row(r, phone: str | None = None, nickname: str | None = None) ->
         "started_at": r.started_at,
         "claimed_count": r.claimed_count,
         "trace_url": r.trace_url,
+        "ad_revenue_yuan": ad_revenue_yuan,
     }
 
 
@@ -246,10 +248,11 @@ def coupon_data_report(
                 select(User.id, User.phone, User.nickname).where(User.id.in_(uids))
             ).all()
         }
+    rev_map = crud_ecpm.revenue_yuan_by_trace(db, [r.trace_id for r in page])
     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))
+        items.append(_session_to_row(r, phone, nickname, ad_revenue_yuan=rev_map.get(r.trace_id, 0.0)))
 
     return {
         "summary": summary,
@@ -271,7 +274,11 @@ def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
     total = db.execute(
         select(func.count()).select_from(CouponSession).where(CouponSession.user_id == user_id)
     ).scalar_one()
-    return {"items": [_session_to_row(r) for r in rows], "total": int(total)}
+    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, 0.0)) for r in rows],
+        "total": int(total),
+    }
 
 
 _SLOT_OK = ("success", "already_claimed")

app/admin/repositories/queries.py

@@ -32,6 +32,7 @@ from app.models.wallet import (
     InviteCashTransaction,
     WithdrawOrder,
 )
+from app.repositories import ad_ecpm
 
 # 「最近活跃」计入的行为事件(与大盘 DAU/留存活跃口径一致:开始比价 + 开始领券)
 _ACTIVE_EVENTS = (COMPARE_START_EVENT, COUPON_START_EVENT)
@@ -298,6 +299,11 @@ def list_comparison_records(
         limit=limit, cursor=cursor,
     )
     _attach_user_info(db, items)
+    # 「本次比价看广告的预估收益」:按本页 trace_id 一次性聚合(同 _attach_user_info 逐页范式)。
+    # ad_revenue_yuan 非 ORM 列,仅瞬态挂实例上供 AdminComparisonListItem(from_attributes)读出。
+    rev = ad_ecpm.revenue_yuan_by_trace(db, [it.trace_id for it in items])
+    for it in items:
+        it.ad_revenue_yuan = rev.get(it.trace_id, 0.0)
     return items, next_cursor, total
 
 

app/admin/schemas/comparison.py

@@ -36,11 +36,14 @@ 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
     android_version: str | None = None
     app_version: str | None = None
+    ad_revenue_yuan: float = 0.0   # 本次比价看的信息流广告预估收益(元),queries 瞬态挂 ORM 实例上
     created_at: datetime
 
 
@@ -71,3 +74,5 @@ 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/admin/schemas/coupon_data.py

@@ -70,6 +70,9 @@ 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 = 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"
+    )
 
 
 class CouponDataOut(BaseModel):

app/api/v1/ad.py

@@ -286,6 +286,7 @@ def ecpm_report(payload: EcpmReportIn, user: CurrentUser, db: DbSession) -> Ecpm
         ad_session_id=payload.ad_session_id,
         adn=payload.adn, slot_id=payload.slot_id,
         feed_scene=payload.feed_scene,
+        trace_id=payload.trace_id,
         app_env=payload.app_env, our_code_id=payload.our_code_id,
     )
     logger.info(

app/api/v1/auth.py

@@ -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)

app/api/v1/compare_record.py

@@ -27,6 +27,7 @@ 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")
@@ -81,6 +82,8 @@ 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

@@ -169,6 +169,13 @@ class Settings(BaseSettings):
     # 进程内自动兑换 worker 的检查间隔(秒):每隔这么久醒一次,跨过北京 0 点就跑一轮。
     # 默认 600s=10min,即 0 点后最多 10 分钟内兑完(客户端文案已注明「可能存在延迟」)。
     AUTO_EXCHANGE_CHECK_INTERVAL_SEC: int = 600
+    # === 15 天不活跃清零(app.core.inactivity_reset_worker)===
+    INACTIVITY_RESET_ENABLED: bool = False           # 总闸,默认关;灰度验证后再开
+    INACTIVITY_RESET_DAYS: int = 15                  # 不活跃阈值(天),第 (N+1) 日 0 点清
+    INACTIVITY_WARN_DAYS_BEFORE: str = "7,2"         # 清零前几天各推一次;""=不推。逗号分隔
+    INACTIVITY_RESET_RUN_HOUR: int = 3               # 北京时间每日执行点(0-23)
+    INACTIVITY_NOTIFY_CHANNEL: str = "log"           # log(占位) / jpush / sms
+    INACTIVITY_RESET_CHECK_INTERVAL_SEC: int = 1800  # worker 唤醒间隔(秒)
     # 免确认收款授权(用户授权免确认模式)的授权结果回调地址,必须公网可访问 HTTPS、不带参数。
     # 发起授权 / 首单顺带授权时作为 authorization_notify_url 传给微信。一期不处理回调内容
     # (授权状态靠 query 查询兜底),但微信要求该字段非空,故启用免确认前必须配置;留空时免确认相关接口返回未配置。
@@ -189,6 +196,19 @@ class Settings(BaseSettings):
         """免确认收款授权可用 = 微信支付凭证齐全 + 授权回调地址已配。"""
         return bool(self.wxpay_configured and self.WXPAY_AUTH_NOTIFY_URL)
 
+    @property
+    def inactivity_warn_stages(self) -> list[int]:
+        """解析 INACTIVITY_WARN_DAYS_BEFORE → 降序去重的提前天数列表。
+        丢弃非数字 / <=0 / >=RESET_DAYS 的项(空串 → 空列表 = 不推)。"""
+        out: list[int] = []
+        for part in (self.INACTIVITY_WARN_DAYS_BEFORE or "").split(","):
+            part = part.strip()
+            if part.isdigit():
+                v = int(part)
+                if 0 < v < self.INACTIVITY_RESET_DAYS and v not in out:
+                    out.append(v)
+        return sorted(out, reverse=True)
+
     # ===== 穿山甲激励视频(服务端发奖回调)=====
     # 看完激励视频后穿山甲服务器回调本服务发金币(S2S,客户端被破解也刷不到)。
     # 穿山甲后台配置的"奖励校验密钥"(m-key),验签用。每个 GroMore 广告位 m-key 不同(后台各自

app/core/config_schema.py

@@ -96,4 +96,19 @@ 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

@@ -9,29 +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)
+        _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)

app/integrations/notifier.py

@@ -0,0 +1,43 @@
+"""不活跃预警通知器(可插拔)。
+
+v1 仅日志占位(LogNotifier):现状无真实推送能力(极光只用于一键登录解密 + 设备心跳告警,
+心跳 worker 也只打印),先把清零主流程 + 审计做扎实。后续实现同协议的 JPushNotifier /
+SmsNotifier 即可替换,worker/repo 不改。
+"""
+from __future__ import annotations
+
+import logging
+from typing import Protocol
+
+logger = logging.getLogger("shagua.inactivity")
+
+
+class InactivityNotifier(Protocol):
+    channel: str
+
+    def warn(self, *, user_id: int, coin: int, cash_cents: int, invite_cash_cents: int,
+             stage: int, days_until_reset: int) -> str:
+        """发预警,返回状态:'sent' / 'failed' / 'placeholder'。"""
+        ...
+
+
+class LogNotifier:
+    """占位实现:只打印,不真推。参照 heartbeat_monitor_worker「本期先不接推送」先例。"""
+
+    channel = "log"
+
+    def warn(self, *, user_id: int, coin: int, cash_cents: int, invite_cash_cents: int,
+             stage: int, days_until_reset: int) -> str:
+        logger.warning(
+            "[inactivity-warn] user=%s coin=%s cash_cents=%s invite_cash_cents=%s "
+            "stage=T-%s days_until_reset=%s",
+            user_id, coin, cash_cents, invite_cash_cents, stage, days_until_reset,
+        )
+        return "placeholder"
+
+
+def get_notifier(channel: str) -> InactivityNotifier:
+    """按配置返回通知器。未实现的通道(jpush/sms)暂回退 LogNotifier 占位。"""
+    # 后续:if channel == "jpush": return JPushNotifier()
+    #       if channel == "sms":   return SmsNotifier()
+    return LogNotifier()

app/integrations/sms.py

@@ -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);

app/models/__init__.py

@@ -27,6 +27,10 @@ from app.models.coupon_state import (  # noqa: F401
     CouponSession,
 )
 from app.models.feedback import Feedback  # noqa: F401
+from app.models.inactivity import (  # noqa: F401
+    InactivityNotificationLog,
+    InactivityResetLog,
+)
 from app.models.invite import InviteRelation  # noqa: F401
 from app.models.invite_fingerprint import InviteFingerprint  # noqa: F401
 from app.models.launch_confirm_sample import LaunchConfirmSample  # noqa: F401

app/models/ad_ecpm.py

@@ -32,6 +32,9 @@ class AdEcpmRecord(Base):
     # 点位场景:comparison(比价) / coupon(领券) / welfare(福利),供收益报表区分比价/领券 Draw 收益;
     # 仅信息流/Draw 上报(比价与领券共用同一代码位,只能客户端各调用点显式打标),激励视频为 NULL。
     feed_scene: Mapped[str | None] = mapped_column(String(16), nullable=True)
+    # 本次比价/领券 trace_id(信息流场景客户端带上):把这条展示收益归属到对应比价/领券记录。
+    # 领券数据 / 比价记录看板按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端 = NULL。
+    trace_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
     # 客户端生成的一次广告会话 id;激励视频 S2S 回调 extra 会透传同值
     ad_session_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
     # 实际投放的 ADN(穿山甲 getShowEcpm().getSdkName(),如 pangle / gdt)

app/models/comparison.py

@@ -137,6 +137,12 @@ 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/models/inactivity.py

@@ -0,0 +1,56 @@
+"""15 天不活跃清零相关表。
+
+- inactivity_reset_log:每次清零一行,记清零前三桶余额 + 原因 + 判定时活跃时间/不活跃天数,
+  供纠纷排查(需求①)。清零同时另写 3 条钱包流水(biz_type=inactivity_reset),资金流可逐笔回溯。
+- inactivity_notification_log:每次预警一行,记推送时余额快照 + 档位 + 通道 + 状态,
+  兼作"预警去重"依据(created_at > last_active)与"待推送"占位 outbox(v1 通道=log)。
+
+append-only,不更新。user_id 只索引、不设外键(同 analytics_event,避免删用户级联/历史留痕)。
+"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import DateTime, Integer, String, func
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.db.base import Base
+
+
+class InactivityResetLog(Base):
+    __tablename__ = "inactivity_reset_log"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    user_id: Mapped[int] = mapped_column(Integer, index=True, nullable=False)
+    coin_balance_before: Mapped[int] = mapped_column(Integer, nullable=False)
+    cash_balance_cents_before: Mapped[int] = mapped_column(Integer, nullable=False)
+    invite_cash_balance_cents_before: Mapped[int] = mapped_column(Integer, nullable=False)
+    last_active_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
+    inactive_days: Mapped[int] = mapped_column(Integer, nullable=False)
+    reason: Mapped[str] = mapped_column(String(32), nullable=False)
+    reset_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"<InactivityResetLog id={self.id} user_id={self.user_id} coin={self.coin_balance_before}>"
+
+
+class InactivityNotificationLog(Base):
+    __tablename__ = "inactivity_notification_log"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    user_id: Mapped[int] = mapped_column(Integer, index=True, nullable=False)
+    stage: Mapped[int] = mapped_column(Integer, nullable=False)      # 提前天数档(如 7 / 2)
+    inactive_days: Mapped[int] = mapped_column(Integer, nullable=False)
+    coin_balance: Mapped[int] = mapped_column(Integer, nullable=False)
+    cash_balance_cents: Mapped[int] = mapped_column(Integer, nullable=False)
+    invite_cash_balance_cents: Mapped[int] = mapped_column(Integer, nullable=False)
+    channel: Mapped[str] = mapped_column(String(16), nullable=False)   # log / jpush / sms
+    status: Mapped[str] = mapped_column(String(16), nullable=False)    # placeholder / sent / failed
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return f"<InactivityNotificationLog id={self.id} user_id={self.user_id} stage={self.stage}>"

app/repositories/activity.py

@@ -0,0 +1,89 @@
+"""活跃口径唯一真源:worker(不活跃清零)与 admin(最近活跃/DAU)共用,防两处漂移。
+
+口径 = max(User.created_at, AnalyticsEvent[ACTIVE_EVENTS], CouponPromptEngagement[claim_started])。
+**不含 last_login_at**(登录/re-login 不代表在用 App);created_at 为恒非空基线。
+清零/预警按北京自然日 0 点对齐(见 reset_cutoff)。
+"""
+from __future__ import annotations
+
+from datetime import date, datetime, timedelta, timezone
+
+from sqlalchemy import func, select
+from sqlalchemy.orm import Session
+
+from app.core.rewards import CN_TZ, cn_today
+from app.models.analytics_event import AnalyticsEvent
+from app.models.coupon_state import CouponPromptEngagement
+
+# —— 活跃事件名(与"用户管理"口径一致)——
+# home_view:进首页(前端埋点,名称前端明天敲定,此处占位;定名后仅改这一常量)。
+HOME_VIEW_EVENT = "home_view"
+COMPARE_START_EVENT = "real_compare_start"   # 发起比价(含浮窗触发)
+COUPON_START_EVENT = "real_coupon_start"     # 发起领券
+ACTIVE_EVENTS = (HOME_VIEW_EVENT, COMPARE_START_EVENT, COUPON_START_EVENT)
+ACTIVE_ENGAGE_TYPE = "claim_started"         # coupon_prompt_engagement 一键领取
+
+
+def as_utc(value: datetime) -> datetime:
+    """任意 datetime → tz-aware UTC(无时区按 UTC 解释)。用于与 DateTime(timezone=True) 列比较,
+    比较绝对时刻、与会话时区无关(口径同 admin queries._as_utc)。"""
+    if value.tzinfo is None:
+        return value.replace(tzinfo=timezone.utc)
+    return value.astimezone(timezone.utc)
+
+
+def norm_utc(dt: datetime | None) -> datetime | None:
+    """naive 视为 UTC 补 tzinfo(SQLite 读回 naive、PG 读回 aware,混着 max() 会 TypeError)。"""
+    if dt is None:
+        return None
+    return dt if dt.tzinfo is not None else dt.replace(tzinfo=timezone.utc)
+
+
+def cn_midnight_utc(d: date) -> datetime:
+    """北京 d 日 00:00 → tz-aware UTC datetime。"""
+    return as_utc(datetime(d.year, d.month, d.day, tzinfo=CN_TZ))
+
+
+def reset_cutoff(reset_days: int, today: date | None = None) -> datetime:
+    """应清零边界(tz-aware UTC):last_active < 此值 ⟺ 距末次活跃已满 reset_days 天(北京 0 点对齐)。
+    = 北京 00:00 of (today − (reset_days − 1))。例:reset_days=15、today=1/20 → 北京 1/6 00:00。"""
+    today = today or cn_today()
+    return cn_midnight_utc(today - timedelta(days=reset_days - 1))
+
+
+def last_active_subqueries(db: Session):
+    """两个按 user_id 预聚合的派生表:最近活跃事件(ACTIVE_EVENTS)、最近领券发起(claim_started)。
+    返回 (ev_sub, eng_sub)。口径同 admin,LEFT JOIN 用,借事件索引只扫活跃事件。"""
+    ev_sub = (
+        select(
+            AnalyticsEvent.user_id.label("user_id"),
+            func.max(AnalyticsEvent.created_at).label("last_at"),
+        )
+        .where(AnalyticsEvent.user_id.is_not(None), AnalyticsEvent.event.in_(ACTIVE_EVENTS))
+        .group_by(AnalyticsEvent.user_id)
+        .subquery()
+    )
+    eng_sub = (
+        select(
+            CouponPromptEngagement.user_id.label("user_id"),
+            func.max(CouponPromptEngagement.created_at).label("last_at"),
+        )
+        .where(
+            CouponPromptEngagement.user_id.is_not(None),
+            CouponPromptEngagement.engage_type == ACTIVE_ENGAGE_TYPE,
+        )
+        .group_by(CouponPromptEngagement.user_id)
+        .subquery()
+    )
+    return ev_sub, eng_sub
+
+
+def last_active_expr(base_col, ev_sub, eng_sub, dialect: str):
+    """max(base_col, 最近活跃事件, 最近领券) 的 SQL 表达式。PG 用 greatest、SQLite 用 max。
+    子聚合缺失(未命中)时 coalesce 到 base_col(= User.created_at,恒非空基线)。"""
+    greatest = func.greatest if dialect == "postgresql" else func.max
+    return greatest(
+        base_col,
+        func.coalesce(ev_sub.c.last_at, base_col),
+        func.coalesce(eng_sub.c.last_at, base_col),
+    )

app/repositories/ad_ecpm.py

@@ -10,6 +10,7 @@ from sqlalchemy import func, select
 from sqlalchemy.exc import IntegrityError
 from sqlalchemy.orm import Session
 
+from app.core import rewards
 from app.core.rewards import cn_today
 from app.models.ad_ecpm import AdEcpmRecord
 
@@ -24,6 +25,7 @@ def create_ecpm_record(
     adn: str | None = None,
     slot_id: str | None = None,
     feed_scene: str | None = None,
+    trace_id: str | None = None,
     app_env: str | None = None,
     our_code_id: str | None = None,
 ) -> AdEcpmRecord:
@@ -43,6 +45,7 @@ def create_ecpm_record(
         adn=adn,
         slot_id=slot_id,
         feed_scene=feed_scene,
+        trace_id=trace_id,
         app_env=app_env,
         our_code_id=our_code_id,
         ecpm_raw=ecpm_raw,
@@ -105,3 +108,27 @@ def count_today(db: Session, user_id: int) -> int:
             AdEcpmRecord.report_date == cn_today().isoformat(),
         )
     ).scalar_one()
+
+
+def revenue_yuan_by_trace(db: Session, trace_ids: list[str]) -> dict[str, float]:
+    """各 trace_id 的广告预估收益(元):按 trace_id 聚合 ad_ecpm_record 的展示收益。
+
+    单条展示收益 = min(eCPM元, AD_ECPM_MAX_FEN/100) / 1000(与 admin 广告收益报表同口径)。
+    ecpm_raw 是字符串且需逐条钳顶,故取回后 Python 求和(行数=本页各 trace 的展示条数,很小)。
+    trace_id 仅信息流(比价/领券)场景客户端带,激励视频/旧数据为 NULL,按 trace_id 过滤天然只算对应场景。
+    只喂**当前页**的 trace_id(≤ 一页条数);空集合直接返回(避免 IN () 非法)。
+    """
+    if not trace_ids:
+        return {}
+    rows = db.execute(
+        select(AdEcpmRecord.trace_id, AdEcpmRecord.ecpm_raw).where(
+            AdEcpmRecord.trace_id.in_(trace_ids),
+        )
+    ).all()
+    cap_yuan = rewards.AD_ECPM_MAX_FEN / 100.0
+    out: dict[str, float] = {}
+    for tid, ecpm_raw in rows:
+        if not tid:
+            continue
+        out[tid] = out.get(tid, 0.0) + min(rewards.parse_ecpm_yuan(ecpm_raw), cap_yuan) / 1000.0
+    return {tid: round(v, 6) for tid, v in out.items()}

app/repositories/inactivity.py

@@ -0,0 +1,107 @@
+"""15 天不活跃清零业务逻辑(纯同步,可单测)。worker 只是它的 asyncio 外壳。
+
+活跃口径复用 app.repositories.activity;清零走 wallet.grant_*(负数出账、写流水、不 commit)。
+逐用户独立事务,一个失败不影响其余。
+"""
+from __future__ import annotations
+
+from datetime import date, datetime, timezone
+
+from sqlalchemy import or_, select
+from sqlalchemy.exc import SQLAlchemyError
+from sqlalchemy.orm import Session
+
+from app.core.rewards import CN_TZ
+from app.models.inactivity import InactivityResetLog
+from app.models.user import User
+from app.models.wallet import CoinAccount
+from app.repositories import activity
+from app.repositories import wallet as wallet_repo
+
+RESET_BIZ_TYPE = "inactivity_reset"
+RESET_REMARK = "15天不活跃清零"
+
+_ANY_BALANCE = or_(
+    CoinAccount.coin_balance > 0,
+    CoinAccount.cash_balance_cents > 0,
+    CoinAccount.invite_cash_balance_cents > 0,
+)
+
+
+def _base_query(db: Session):
+    """select(user_id, last_active, 三桶余额),join CoinAccount + 两活跃子查询。"""
+    ev_sub, eng_sub = activity.last_active_subqueries(db)
+    dialect = db.get_bind().dialect.name
+    last_active = activity.last_active_expr(User.created_at, ev_sub, eng_sub, dialect)
+    stmt = (
+        select(
+            User.id.label("user_id"),
+            last_active.label("last_active"),
+            CoinAccount.coin_balance,
+            CoinAccount.cash_balance_cents,
+            CoinAccount.invite_cash_balance_cents,
+        )
+        .join(CoinAccount, CoinAccount.user_id == User.id)
+        .outerjoin(ev_sub, ev_sub.c.user_id == User.id)
+        .outerjoin(eng_sub, eng_sub.c.user_id == User.id)
+    )
+    return stmt, last_active
+
+
+def _cn_date(dt: datetime) -> date:
+    """datetime → 北京自然日(naive 视为 UTC)。"""
+    return activity.norm_utc(dt).astimezone(CN_TZ).date()
+
+
+def _inactive_days(last_active: datetime, today: date) -> int:
+    return (today - _cn_date(last_active)).days
+
+
+def select_inactive_users(db: Session, *, cutoff: datetime):
+    """应清零用户:last_active < cutoff 且三桶有余额。返回 Row 列表(值已快照,可跨 commit)。"""
+    stmt, last_active = _base_query(db)
+    stmt = stmt.where(_ANY_BALANCE, last_active < activity.as_utc(cutoff))
+    return db.execute(stmt).all()
+
+
+def clear_user(db: Session, *, user_id: int, last_active: datetime, inactive_days: int, reason: str) -> bool:
+    """单用户清零(独立事务、行锁)。三桶归零 + 写审计 + 3 条流水。返回是否真清了(有余额)。"""
+    acc = wallet_repo.get_or_create_account(db, user_id, commit=False, lock=True)
+    coin, cash, invite = acc.coin_balance, acc.cash_balance_cents, acc.invite_cash_balance_cents
+    if coin == 0 and cash == 0 and invite == 0:
+        return False
+    log = InactivityResetLog(
+        user_id=user_id, coin_balance_before=coin, cash_balance_cents_before=cash,
+        invite_cash_balance_cents_before=invite, last_active_at=activity.norm_utc(last_active),
+        inactive_days=inactive_days, reason=reason,
+    )
+    db.add(log)
+    db.flush()  # 拿 log.id 作 ref_id 交叉链接审计↔流水
+    ref = str(log.id)
+    if coin:
+        wallet_repo.grant_coins(db, user_id, -coin, biz_type=RESET_BIZ_TYPE, ref_id=ref, remark=RESET_REMARK)
+    if cash:
+        wallet_repo.grant_cash(db, user_id, -cash, biz_type=RESET_BIZ_TYPE, ref_id=ref, remark=RESET_REMARK)
+    if invite:
+        wallet_repo.grant_invite_cash(db, user_id, -invite, biz_type=RESET_BIZ_TYPE, ref_id=ref, remark=RESET_REMARK)
+    db.commit()
+    return True
+
+
+def run_reset_once(db: Session, *, reset_days: int, today: date) -> dict:
+    """扫一轮清零。逐用户独立 commit,失败隔离。"""
+    stats = {"scanned": 0, "cleared": 0, "failed": 0}
+    cutoff = activity.reset_cutoff(reset_days, today)
+    reason = f"inactive_{reset_days}d"
+    rows = select_inactive_users(db, cutoff=cutoff)  # 先物化,避免边遍历边 commit
+    for row in rows:
+        stats["scanned"] += 1
+        idays = _inactive_days(row.last_active, today)
+        try:
+            if clear_user(db, user_id=row.user_id, last_active=row.last_active,
+                          inactive_days=idays, reason=reason):
+                stats["cleared"] += 1
+        except SQLAlchemyError:
+            db.rollback()
+            stats["failed"] += 1
+    return stats

app/schemas/ad.py

@@ -63,6 +63,12 @@ class EcpmReportIn(BaseModel):
         description="点位场景:comparison(比价等待) / coupon(领券) / welfare(福利页);"
         "比价与领券共用同一 Draw 代码位,需客户端在各调用点显式标注,供收益报表区分比价/领券;激励视频为空",
     )
+    trace_id: str | None = Field(
+        None,
+        max_length=64,
+        description="本次比价/领券 trace_id(信息流场景带上):把这条展示收益归属到对应比价/领券,"
+        "供领券数据/比价记录看板聚合本场广告收益;激励视频/福利为空",
+    )
     app_env: str | None = Field(
         None, max_length=16, description="我们的穿山甲应用环境:prod(傻瓜比价正式) / test(测试应用)"
     )

app/services/llm_cost.py

@@ -0,0 +1,53 @@
+"""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

@@ -40,6 +40,8 @@
 | `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。

docs/superpowers/plans/2026-07-10-per-session-ad-revenue.md

@@ -0,0 +1,830 @@
+# 逐次比价/领券广告收益 Implementation Plan
+
+> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
+
+**Goal:** 让 admin「领券数据」和「比价记录」两个看板的 table 每一行显示这一次领券/比价产生的广告收益(预估元)。
+
+**Architecture:** 客户端在信息流(Draw)展示上报 eCPM 时带上本场 `trace_id`,后端落到 `ad_ecpm_record.trace_id`(新列 + 索引)。两个看板在分页后,对**当前页**的 trace_id 批量聚合一次 `ad_ecpm_record` 的展示收益(单条收益 = min(eCPM元,¥500)/1000,与广告收益报表同口径),挂到每行。查询是按 trace_id 索引的单条聚合,与已上线的 `_ad_coins_by_trace`(比价记录页「比价赚N金币」)同一性能剖面。
+
+**Tech Stack:** 后端 FastAPI + SQLAlchemy 2.0 + Alembic;客户端 Android(Kotlin/OkHttp);admin 前端 Next.js + React + Ant Design(shaguabijia-admin-web)。
+
+---
+
+## 背景与约束(执行前必读)
+
+- **收益 ≠ 金币**。本功能查的是「我们赚的广告收益」(数据源 `ad_ecpm_record`,客户端自报 eCPM 折算的预估),不是发给用户的金币(那是 `ad_feed_reward_record`,已有 `trace_id`)。
+- **只能到「场景 + 单次」粒度**。`trace_id` 由客户端在比价(comparisonTraceId)/领券(sessionTraceId)全流程保持不变。激励视频、福利页、旧客户端不带 trace_id → 该列为 NULL,历史数据无法回填,只对升级后新数据生效。
+- **收益口径**(与 `app/admin/repositories/ad_revenue.py:165-167` 完全一致):
+  单条展示收益(元) = `min(parse_ecpm_yuan(ecpm_raw), AD_ECPM_MAX_FEN/100) / 1000`
+  其中 `AD_ECPM_MAX_FEN = 50000`(分)= ¥500 CPM 封顶,`parse_ecpm_yuan(x) = parse_ecpm_fen(x)/100`。
+- **性能前提**:`ad_ecpm_record` 是全库写入量最大的表。必须有 `ix_ad_ecpm_record_trace_id` 索引(本计划 Task A2 建),且只对**当前页**的 trace_id 聚合,绝不对整个日期区间聚合。
+- **跨仓库**:本计划涉及三个仓库,路径前缀:
+  - 后端 `e:\project\shaguabijia-app-server`(相对路径即以此为根)
+  - 客户端 `E:\project\shaguabijia-app-android`
+  - admin 前端 `e:\project\shaguabijia-admin-web`
+
+---
+
+## File Structure
+
+### 后端(shaguabijia-app-server)
+- Modify `app/models/ad_ecpm.py` — `AdEcpmRecord` 加 `trace_id` 列(索引)
+- Create `alembic/versions/ad_ecpm_trace_id.py` — 加列 + 索引,并收敛当前双 head
+- Modify `app/schemas/ad.py` — `EcpmReportIn` 加 `trace_id` 字段
+- Modify `app/repositories/ad_ecpm.py` — `create_ecpm_record` 持久化 `trace_id`;新增 `revenue_yuan_by_trace` 聚合器
+- Modify `app/api/v1/ad.py` — `ecpm_report` 透传 `trace_id`
+- Modify `app/admin/schemas/coupon_data.py` — `CouponDataRow` 加 `ad_revenue_yuan`
+- Modify `app/admin/repositories/coupon_data.py` — 逐页补 `ad_revenue_yuan`
+- Modify `app/admin/schemas/comparison.py` — `AdminComparisonListItem` 加 `ad_revenue_yuan`
+- Modify `app/admin/repositories/queries.py` — `list_comparison_records` 逐页补 `ad_revenue_yuan`
+- Create `tests/test_ad_ecpm_trace_revenue.py` — 聚合器 + 落库单测
+- Create `tests/test_board_ad_revenue.py` — 两个看板收益列单测
+
+> `app/models/__init__.py` **不需改**:`AdEcpmRecord` 已注册,只是加列。
+
+### 客户端(shaguabijia-app-android)
+- Modify `app/src/main/java/com/jishisongfu/shaguabijia/agent/network/ApiClient.kt` — `reportAdImpression` 加 `traceId` 参数
+- Modify `app/src/main/java/com/jishisongfu/shaguabijia/agent/service/ad/CompareAdController.kt` — 比价展示上报带 `traceId`
+- Modify `app/src/main/java/com/jishisongfu/shaguabijia/service/CouponForegroundService.kt` — 领券展示上报带 `traceId`
+
+### admin 前端(shaguabijia-admin-web)
+- Modify `src/lib/types.ts` — `ComparisonRecordListItem` 加 `ad_revenue_yuan`
+- Modify `src/app/(main)/comparison-records/page.tsx` — 加「广告收益」列
+- Modify `src/app/(main)/coupon-data/page.tsx` — `CouponDataRow` 加字段 + 加「广告收益」列
+
+---
+
+## Phase A — 后端数据打通(落 trace_id + 收益聚合器)
+
+### Task A1: `AdEcpmRecord` 加 `trace_id` 列
+
+**Files:**
+- Modify: `app/models/ad_ecpm.py`
+
+- [ ] **Step 1: 加列**
+
+在 `app/models/ad_ecpm.py` 中,找到 `feed_scene` 这一行:
+
+```python
+    feed_scene: Mapped[str | None] = mapped_column(String(16), nullable=True)
+```
+
+在其**下方**插入:
+
+```python
+    # 本次比价/领券 trace_id(信息流场景客户端带上):把这条展示收益归属到对应比价/领券记录。
+    # 领券数据 / 比价记录看板按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端 = NULL。
+    trace_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
+```
+
+- [ ] **Step 2: 提交**
+
+```bash
+git add app/models/ad_ecpm.py
+git commit -m "feat(ad-ecpm): add trace_id column to AdEcpmRecord model"
+```
+
+---
+
+### Task A2: 迁移 — 加列 + 索引,并收敛双 head
+
+**Files:**
+- Create: `alembic/versions/ad_ecpm_trace_id.py`
+
+> ⚠️ 当前 `alembic heads` 有**两个 head**:`11c44afbea58`(selfstat 表)与 `merge_pages_override_coupon_slot`(#126+领券合并)。本迁移用元组 `down_revision` 把二者收敛成单 head,同时加列,让 `alembic upgrade head`(单数,run.sh 用)恢复正常。
+
+- [ ] **Step 1: 确认当前 heads 未漂移**
+
+Run: `alembic heads`
+Expected: 恰好两行 —
+```
+11c44afbea58 (head)
+merge_pages_override_coupon_slot (head)
+```
+若不同(他人已合并/新增),把下面 `down_revision` 改成此刻实际的 head 列表。
+
+- [ ] **Step 2: 建迁移文件**
+
+Create `alembic/versions/ad_ecpm_trace_id.py`:
+
+```python
+"""ad_ecpm_record.trace_id(展示收益归属到比价/领券 trace)+ 收敛双 head
+
+信息流(Draw)展示 eCPM 上报时带上本场比价/领券 trace_id,落此列;领券数据 / 比价记录看板
+按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端为 NULL。
+
+顺带把当前两个 head(11c44afbea58 selfstat 表 + merge_pages_override_coupon_slot)收敛成
+单 head,让 `alembic upgrade head`(单数,部署/run.sh 用)恢复正常。
+
+Revision ID: ad_ecpm_trace_id
+Revises: 11c44afbea58, merge_pages_override_coupon_slot
+Create Date: 2026-07-10
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision: str = "ad_ecpm_trace_id"
+down_revision: Union[str, Sequence[str], None] = (
+    "11c44afbea58",
+    "merge_pages_override_coupon_slot",
+)
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # SQLite 下 ADD COLUMN(可空)与 CREATE INDEX 均原生支持,无需 batch_alter_table
+    # (同 ad_feed_reward_trace_id 迁移)。
+    op.add_column(
+        "ad_ecpm_record",
+        sa.Column("trace_id", sa.String(length=64), nullable=True),
+    )
+    op.create_index(
+        op.f("ix_ad_ecpm_record_trace_id"),
+        "ad_ecpm_record",
+        ["trace_id"],
+        unique=False,
+    )
+
+
+def downgrade() -> None:
+    op.drop_index(op.f("ix_ad_ecpm_record_trace_id"), table_name="ad_ecpm_record")
+    op.drop_column("ad_ecpm_record", "trace_id")
+```
+
+- [ ] **Step 3: 应用迁移**
+
+Run: `alembic upgrade head`
+Expected: 无报错(不再报 "multiple heads")。
+
+- [ ] **Step 4: 验证单 head + 列存在**
+
+Run: `alembic heads`
+Expected: 只有一行 `ad_ecpm_trace_id (head)`。
+
+Run: `python -c "from sqlalchemy import inspect; from app.db.session import engine; print([c['name'] for c in inspect(engine).get_columns('ad_ecpm_record')])"`
+Expected: 输出的列名列表包含 `trace_id`。
+
+- [ ] **Step 5: 提交**
+
+```bash
+git add alembic/versions/ad_ecpm_trace_id.py
+git commit -m "feat(migration): add ad_ecpm_record.trace_id + index, converge heads"
+```
+
+---
+
+### Task A3: `EcpmReportIn` 加 `trace_id` 字段
+
+**Files:**
+- Modify: `app/schemas/ad.py`
+
+- [ ] **Step 1: 加字段**
+
+在 `app/schemas/ad.py` 的 `EcpmReportIn` 里,找到 `feed_scene` 字段定义(以 `feed_scene: str | None = Field(` 开头的那段)。在该字段**之后**插入:
+
+```python
+    trace_id: str | None = Field(
+        None,
+        max_length=64,
+        description="本次比价/领券 trace_id(信息流场景带上):把这条展示收益归属到对应比价/领券,"
+        "供领券数据/比价记录看板聚合本场广告收益;激励视频/福利为空",
+    )
+```
+
+- [ ] **Step 2: 提交**
+
+```bash
+git add app/schemas/ad.py
+git commit -m "feat(ad-schema): EcpmReportIn accepts trace_id"
+```
+
+---
+
+### Task A4: `create_ecpm_record` 持久化 trace_id + 新增 `revenue_yuan_by_trace`
+
+**Files:**
+- Modify: `app/repositories/ad_ecpm.py`
+- Test: `tests/test_ad_ecpm_trace_revenue.py`
+
+- [ ] **Step 1: 写失败测试**
+
+Create `tests/test_ad_ecpm_trace_revenue.py`:
+
+```python
+"""ad_ecpm_record.trace_id 落库 + 按 trace 聚合广告收益(元)。"""
+from __future__ import annotations
+
+from datetime import UTC, datetime
+
+from sqlalchemy import delete
+
+from app.db.session import SessionLocal
+from app.models.ad_ecpm import AdEcpmRecord
+from app.repositories import ad_ecpm as crud_ecpm
+
+
+def _ecpm(trace_id: str, ecpm_raw: str, session_id: str) -> AdEcpmRecord:
+    """构造一条 Draw 展示 eCPM(不 commit;ad_session_id 全局唯一,须各不相同)。"""
+    return AdEcpmRecord(
+        user_id=1,
+        ad_type="draw",
+        feed_scene="comparison",
+        ad_session_id=session_id,
+        ecpm_raw=ecpm_raw,
+        trace_id=trace_id,
+        report_date="2020-01-02",
+        created_at=datetime(2020, 1, 2, tzinfo=UTC),
+    )
+
+
+def test_revenue_yuan_by_trace_sums_and_clamps() -> None:
+    """同一 trace 多条展示求和;收益=min(eCPM元,¥500)/1000;无展示的 trace 不出现。
+
+    ecpm 200 分→2.0 元/千次→0.002 元/次;300 分→0.003;合计 0.005。
+    """
+    db = SessionLocal()
+    try:
+        db.add_all([
+            _ecpm("t1", "200", "sess-t1-a"),
+            _ecpm("t1", "300", "sess-t1-b"),
+            _ecpm("t2", "0", "sess-t2-a"),
+        ])
+        db.flush()
+        rev = crud_ecpm.revenue_yuan_by_trace(db, ["t1", "t2", "t3"])
+        assert rev["t1"] == 0.005
+        assert rev.get("t2", 0.0) == 0.0
+        assert "t3" not in rev  # 无展示的 trace 不出现在结果里
+    finally:
+        db.rollback()
+        db.close()
+
+
+def test_revenue_yuan_by_trace_empty() -> None:
+    """空 trace 列表直接返回 {}(避免 IN () 非法)。"""
+    db = SessionLocal()
+    try:
+        assert crud_ecpm.revenue_yuan_by_trace(db, []) == {}
+    finally:
+        db.close()
+
+
+def test_create_ecpm_record_persists_trace_id() -> None:
+    """create_ecpm_record 落 trace_id。"""
+    db = SessionLocal()
+    try:
+        rec = crud_ecpm.create_ecpm_record(
+            db, 1, ad_type="draw", ecpm_raw="150",
+            ad_session_id="sess-trace-persist", feed_scene="coupon",
+            trace_id="trace-xyz",
+        )
+        assert rec.trace_id == "trace-xyz"
+    finally:
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.ad_session_id == "sess-trace-persist"))
+        db.commit()
+        db.close()
+```
+
+- [ ] **Step 2: 跑测试确认失败**
+
+Run: `pytest tests/test_ad_ecpm_trace_revenue.py -q`
+Expected: FAIL — `create_ecpm_record` 无 `trace_id` 参数(TypeError)/ `revenue_yuan_by_trace` 不存在(AttributeError)。
+
+- [ ] **Step 3: 实现**
+
+在 `app/repositories/ad_ecpm.py`:
+
+(a) 顶部 import 区加(与现有 `from app.core.rewards import cn_today` 并列):
+
+```python
+from app.core import rewards
+```
+
+(b) `create_ecpm_record` 的签名里,在 `feed_scene: str | None = None,` 之后加一行参数:
+
+```python
+    trace_id: str | None = None,
+```
+
+(c) 同函数体内构造 `AdEcpmRecord(...)` 处,在 `feed_scene=feed_scene,` 之后加一行:
+
+```python
+        trace_id=trace_id,
+```
+
+(d) 文件末尾新增聚合器:
+
+```python
+def revenue_yuan_by_trace(db: Session, trace_ids: list[str]) -> dict[str, float]:
+    """各 trace_id 的广告预估收益(元):按 trace_id 聚合 ad_ecpm_record 的展示收益。
+
+    单条展示收益 = min(eCPM元, AD_ECPM_MAX_FEN/100) / 1000(与 admin 广告收益报表同口径)。
+    ecpm_raw 是字符串且需逐条钳顶,故取回后 Python 求和(行数=本页各 trace 的展示条数,很小)。
+    trace_id 仅信息流(比价/领券)场景客户端带,激励视频/旧数据为 NULL,按 trace_id 过滤天然只算对应场景。
+    只喂**当前页**的 trace_id(≤ 一页条数);空集合直接返回(避免 IN () 非法)。
+    """
+    if not trace_ids:
+        return {}
+    rows = db.execute(
+        select(AdEcpmRecord.trace_id, AdEcpmRecord.ecpm_raw).where(
+            AdEcpmRecord.trace_id.in_(trace_ids),
+        )
+    ).all()
+    cap_yuan = rewards.AD_ECPM_MAX_FEN / 100.0
+    out: dict[str, float] = {}
+    for tid, ecpm_raw in rows:
+        if not tid:
+            continue
+        out[tid] = out.get(tid, 0.0) + min(rewards.parse_ecpm_yuan(ecpm_raw), cap_yuan) / 1000.0
+    return {tid: round(v, 6) for tid, v in out.items()}
+```
+
+- [ ] **Step 4: 跑测试确认通过**
+
+Run: `pytest tests/test_ad_ecpm_trace_revenue.py -q`
+Expected: PASS(3 passed)。
+
+- [ ] **Step 5: 提交**
+
+```bash
+git add app/repositories/ad_ecpm.py tests/test_ad_ecpm_trace_revenue.py
+git commit -m "feat(ad-ecpm): persist trace_id + revenue_yuan_by_trace aggregator"
+```
+
+---
+
+### Task A5: `ecpm_report` 端点透传 trace_id
+
+**Files:**
+- Modify: `app/api/v1/ad.py`
+
+- [ ] **Step 1: 透传字段**
+
+在 `app/api/v1/ad.py` 的 `ecpm_report` 函数里,找到 `crud_ecpm.create_ecpm_record(` 调用,在 `feed_scene=payload.feed_scene,` 之后加一行:
+
+```python
+        trace_id=payload.trace_id,
+```
+
+- [ ] **Step 2: 冒烟验证(手动,可选)**
+
+启动后端(`./run.sh`),用一个有效用户 JWT 调:
+
+Run:
+```bash
+curl -s -X POST http://127.0.0.1:8770/api/v1/ad/ecpm-report \
+  -H "Authorization: Bearer <USER_JWT>" -H "Content-Type: application/json" \
+  -d '{"ad_type":"draw","ecpm":"200","ad_session_id":"smoke-sess-1","feed_scene":"comparison","trace_id":"smoke-trace-1"}'
+```
+Expected: `{"ok":true}`;库里 `ad_ecpm_record` 出现一条 `trace_id='smoke-trace-1'` 的记录。
+
+> 端点逻辑是纯透传,已由 A4 的 schema/repo 测试覆盖;此步仅人工确认接线。
+
+- [ ] **Step 3: 提交**
+
+```bash
+git add app/api/v1/ad.py
+git commit -m "feat(ad-api): ecpm-report forwards trace_id to record"
+```
+
+---
+
+## Phase B — 后端两个看板补收益列
+
+### Task B1: 领券数据看板逐行补 `ad_revenue_yuan`
+
+**Files:**
+- Modify: `app/admin/schemas/coupon_data.py`
+- Modify: `app/admin/repositories/coupon_data.py`
+- Test: `tests/test_board_ad_revenue.py`
+
+- [ ] **Step 1: 写失败测试**
+
+Create `tests/test_board_ad_revenue.py`:
+
+```python
+"""两个看板逐行「本次广告收益」(元):按 trace_id 聚合 ad_ecpm_record。"""
+from __future__ import annotations
+
+from datetime import UTC, date, datetime
+
+from sqlalchemy import delete
+
+from app.admin.repositories import queries
+from app.admin.repositories.coupon_data import coupon_data_report
+from app.db.session import SessionLocal
+from app.models.ad_ecpm import AdEcpmRecord
+from app.models.comparison import ComparisonRecord
+from app.models.coupon_state import CouponSession
+
+
+def _ecpm(trace_id: str, ecpm_raw: str, session_id: str, scene: str) -> AdEcpmRecord:
+    return AdEcpmRecord(
+        user_id=1, ad_type="draw", feed_scene=scene, ad_session_id=session_id,
+        ecpm_raw=ecpm_raw, trace_id=trace_id, report_date="2020-01-02",
+        created_at=datetime(2020, 1, 2, tzinfo=UTC),
+    )
+
+
+def test_coupon_data_report_includes_ad_revenue() -> None:
+    """领券看板明细行带本次广告收益;200+300 分 → 0.005 元。"""
+    db = SessionLocal()
+    try:
+        db.add(CouponSession(
+            trace_id="rev-cp-1", device_id="d1", status="completed", app_env="prod",
+            platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
+            started_at=datetime(2020, 1, 2, tzinfo=UTC), started_date=date(2020, 1, 2),
+        ))
+        db.add_all([
+            _ecpm("rev-cp-1", "200", "cp-sess-a", "coupon"),
+            _ecpm("rev-cp-1", "300", "cp-sess-b", "coupon"),
+        ])
+        db.flush()
+        res = coupon_data_report(db, date_from="2020-01-02", date_to="2020-01-02", app_env="prod")
+        row = next(r for r in res["items"] if r["trace_id"] == "rev-cp-1")
+        assert row["ad_revenue_yuan"] == 0.005
+    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。
+
+    用独有 user_id 过滤,确保本行必落在第一页(避免共享测试库里同 user 记录多、分页把它挤掉)。
+    """
+    db = SessionLocal()
+    try:
+        db.add(ComparisonRecord(
+            trace_id="rev-cmp-1", user_id=987654, status="success", business_type="food",
+            created_at=datetime(2020, 1, 2, tzinfo=UTC),
+        ))
+        db.add(_ecpm("rev-cmp-1", "200", "cmp-sess-a", "comparison"))
+        db.commit()
+        items, _next, _total = queries.list_comparison_records(db, user_id=987654)
+        row = next(it for it in items if it.trace_id == "rev-cmp-1")
+        assert row.ad_revenue_yuan == 0.002
+    finally:
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.trace_id.in_(["rev-cmp-1"])))
+        db.execute(delete(ComparisonRecord).where(ComparisonRecord.trace_id == "rev-cmp-1"))
+        db.commit()
+        db.close()
+```
+
+- [ ] **Step 2: 跑测试确认失败**
+
+Run: `pytest tests/test_board_ad_revenue.py -q`
+Expected: FAIL — `coupon_data_report` 明细行无 `ad_revenue_yuan` 键(KeyError);`ComparisonRecord` 无 `ad_revenue_yuan`(AttributeError)。
+
+- [ ] **Step 3: 领券 schema 加字段**
+
+在 `app/admin/schemas/coupon_data.py` 的 `CouponDataRow` 里,`trace_url` 字段**之后**加:
+
+```python
+    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"
+    )
+```
+
+- [ ] **Step 4: 领券 repo 逐页补收益**
+
+在 `app/admin/repositories/coupon_data.py`:
+
+(a) import 区(现有 `from app.models.user import User` 附近)加:
+
+```python
+from app.repositories import ad_ecpm as crud_ecpm
+```
+
+(b) `_session_to_row` 签名改为(加末位参数):
+
+```python
+def _session_to_row(r, phone: str | None = None, nickname: str | None = None, ad_revenue_yuan: float = 0.0) -> dict:
+```
+
+并在其返回的 dict 里,`"trace_url": r.trace_url,` 之后加一行:
+
+```python
+        "ad_revenue_yuan": ad_revenue_yuan,
+```
+
+(c) 在 `coupon_data_report` 里,找到构造明细的这段:
+
+```python
+    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))
+```
+
+替换为(新增 `rev_map` + 传入):
+
+```python
+    rev_map = crud_ecpm.revenue_yuan_by_trace(db, [r.trace_id for r in page])
+    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, 0.0)))
+```
+
+> `coupon_user_records`(手机号抽屉)仍走 `_session_to_row(r)`,`ad_revenue_yuan` 取默认 0.0——抽屉不展示收益列,无需补;字段有默认值故 schema 校验不受影响。
+
+- [ ] **Step 5: 跑领券用例确认通过**
+
+Run: `pytest tests/test_board_ad_revenue.py::test_coupon_data_report_includes_ad_revenue -q`
+Expected: PASS。
+
+- [ ] **Step 6: 提交**
+
+```bash
+git add app/admin/schemas/coupon_data.py app/admin/repositories/coupon_data.py tests/test_board_ad_revenue.py
+git commit -m "feat(admin-coupon-data): per-session ad revenue column"
+```
+
+---
+
+### Task B2: 比价记录看板逐行补 `ad_revenue_yuan`
+
+**Files:**
+- Modify: `app/admin/schemas/comparison.py`
+- Modify: `app/admin/repositories/queries.py`
+
+- [ ] **Step 1: 比价 schema 加字段**
+
+在 `app/admin/schemas/comparison.py` 的 `AdminComparisonListItem` 里,`created_at: datetime` **之前**加:
+
+```python
+    ad_revenue_yuan: float = 0.0   # 本次比价看的信息流广告预估收益(元),queries 瞬态挂 ORM 实例上
+```
+
+- [ ] **Step 2: 比价 repo 逐页补收益**
+
+在 `app/admin/repositories/queries.py`:
+
+(a) import 区加:
+
+```python
+from app.repositories import ad_ecpm
+```
+
+(b) 在 `list_comparison_records` 里,找到:
+
+```python
+    _attach_user_info(db, items)
+    return items, next_cursor, total
+```
+
+替换为:
+
+```python
+    _attach_user_info(db, items)
+    # 「本次比价看广告的预估收益」:按本页 trace_id 一次性聚合(同 _attach_user_info 逐页范式)。
+    # ad_revenue_yuan 非 ORM 列,仅瞬态挂实例上供 AdminComparisonListItem(from_attributes)读出。
+    rev = ad_ecpm.revenue_yuan_by_trace(db, [it.trace_id for it in items])
+    for it in items:
+        it.ad_revenue_yuan = rev.get(it.trace_id, 0.0)
+    return items, next_cursor, total
+```
+
+- [ ] **Step 3: 跑比价用例确认通过**
+
+Run: `pytest tests/test_board_ad_revenue.py::test_comparison_list_includes_ad_revenue -q`
+Expected: PASS。
+
+- [ ] **Step 4: 跑全量后端测试(确认无回归)**
+
+Run: `pytest -q`
+Expected: 全绿(新增用例通过,原有用例不受影响)。
+
+- [ ] **Step 5: Lint**
+
+Run: `ruff check app/ tests/`
+Expected: 无新增告警。
+
+- [ ] **Step 6: 提交**
+
+```bash
+git add app/admin/schemas/comparison.py app/admin/repositories/queries.py
+git commit -m "feat(admin-comparison): per-comparison ad revenue column"
+```
+
+---
+
+## Phase C — 客户端上报带 trace_id(Android)
+
+> 三处都在 `E:\project\shaguabijia-app-android`。改动极小:eCPM 上报点的 trace_id 已在作用域内(比价是 `showAd(traceId)` 参数,领券是 `sessionTraceId` 类字段),只是当前没往上带。发奖(`reportFeedReward`)已在带 traceId,可作参照。
+
+### Task C1: `ApiClient.reportAdImpression` 加 `traceId` 参数
+
+**Files:**
+- Modify: `app/src/main/java/com/jishisongfu/shaguabijia/agent/network/ApiClient.kt`
+
+- [ ] **Step 1: 加参数**
+
+找到 `reportAdImpression` 的参数列表,末尾 `feedScene: String? = null,` 之后加一行:
+
+```kotlin
+        traceId: String? = null,
+```
+
+- [ ] **Step 2: 写进 payload**
+
+同函数内,找到:
+
+```kotlin
+            if (!feedScene.isNullOrBlank()) payload.put("feed_scene", feedScene)
+```
+
+在其**下方**加一行:
+
+```kotlin
+            if (!traceId.isNullOrBlank()) payload.put("trace_id", traceId)
+```
+
+- [ ] **Step 3: 提交**
+
+```bash
+git add app/src/main/java/com/jishisongfu/shaguabijia/agent/network/ApiClient.kt
+git commit -m "feat(ad-report): reportAdImpression carries trace_id"
+```
+
+---
+
+### Task C2: 比价展示上报带 traceId
+
+**Files:**
+- Modify: `app/src/main/java/com/jishisongfu/shaguabijia/agent/service/ad/CompareAdController.kt`
+
+- [ ] **Step 1: 传 traceId**
+
+在 `showAd(traceId: String)` 内的 `onAdImpression` 回调里,找到 `apiClient.reportAdImpression(` 调用,其中 `feedScene = "comparison",` 之后加一行(`traceId` 即 `showAd` 的入参):
+
+```kotlin
+                            traceId = traceId, // 本场比价 trace → 展示收益归属到该次比价
+```
+
+- [ ] **Step 2: 提交**
+
+```bash
+git add app/src/main/java/com/jishisongfu/shaguabijia/agent/service/ad/CompareAdController.kt
+git commit -m "feat(compare-ad): report comparison impression with trace_id"
+```
+
+---
+
+### Task C3: 领券展示上报带 traceId
+
+**Files:**
+- Modify: `app/src/main/java/com/jishisongfu/shaguabijia/service/CouponForegroundService.kt`
+
+- [ ] **Step 1: 传 traceId**
+
+在 `onAdImpression` 回调里,找到 `apiClient.reportAdImpression(` 调用,其中 `feedScene = "coupon",` 之后加一行(`sessionTraceId` 为本类字段,整场领券不变):
+
+```kotlin
+                            traceId = sessionTraceId, // 本场领券 trace → 展示收益归属到该次领券
+```
+
+- [ ] **Step 2: 编译验证**
+
+Run(在 `E:\project\shaguabijia-app-android`): `./gradlew :app:compileDebugKotlin`
+Expected: BUILD SUCCESSFUL。
+
+- [ ] **Step 3: 提交**
+
+```bash
+git add app/src/main/java/com/jishisongfu/shaguabijia/service/CouponForegroundService.kt
+git commit -m "feat(coupon-ad): report coupon impression with trace_id"
+```
+
+---
+
+## Phase D — admin 前端加「广告收益」列
+
+> 两个页面都在 `e:\project\shaguabijia-admin-web`。收益值单位是**元**(小数,单次很小如 ¥0.0050),用 `.toFixed(4)` 展示。
+
+### Task D1: 比价记录页加列
+
+**Files:**
+- Modify: `src/lib/types.ts`
+- Modify: `src/app/(main)/comparison-records/page.tsx`
+
+- [ ] **Step 1: 类型加字段**
+
+在 `src/lib/types.ts` 的 `ComparisonRecordListItem` 接口里,`created_at: string;` **之前**加:
+
+```typescript
+  ad_revenue_yuan: number; // 本次比价看的信息流广告预估收益(元)
+```
+
+- [ ] **Step 2: 表格加列**
+
+在 `src/app/(main)/comparison-records/page.tsx` 的 `columns` 数组里,找到「省」这一列(以 `title: '省',` 开头的对象),在其**之后**插入一列:
+
+```tsx
+    {
+      title: '广告收益',
+      key: 'ad_revenue',
+      width: 96,
+      align: 'right',
+      render: (_, r) =>
+        r.ad_revenue_yuan > 0 ? (
+          <span style={{ color: '#3f8600' }}>¥{r.ad_revenue_yuan.toFixed(4)}</span>
+        ) : (
+          <span style={{ color: '#ccc' }}>-</span>
+        ),
+    },
+```
+
+- [ ] **Step 3: 加宽横向滚动**
+
+同文件找到比价记录主表的 `scroll={{ x: 1820 }}`,改为:
+
+```tsx
+        scroll={{ x: 1920 }}
+```
+
+- [ ] **Step 4: 提交**
+
+```bash
+git add src/lib/types.ts "src/app/(main)/comparison-records/page.tsx"
+git commit -m "feat(admin-web): ad revenue column in comparison records table"
+```
+
+---
+
+### Task D2: 领券数据页加列
+
+**Files:**
+- Modify: `src/app/(main)/coupon-data/page.tsx`
+
+- [ ] **Step 1: 接口加字段**
+
+在 `src/app/(main)/coupon-data/page.tsx` 的 `interface CouponDataRow` 里,`trace_url: string | null;` **之后**加:
+
+```typescript
+  ad_revenue_yuan: number; // 本次领券看的信息流广告预估收益(元)
+```
+
+- [ ] **Step 2: 加金额格式化辅助**
+
+在 `fmtPct` 定义(以 `const fmtPct =` 开头)之后加:
+
+```typescript
+// 元(小数)→ "¥0.0050"(空/≤0 显示 -)。单次广告收益很小,保留 4 位。
+const fmtYuan = (v: number | null | undefined): string =>
+  v == null || v <= 0 ? '-' : `¥${v.toFixed(4)}`;
+```
+
+- [ ] **Step 3: 主表加列**
+
+找到主表 `columns`(`CouponDataPage` 组件内的 `const columns: ColumnsType<CouponDataRow> = [`)。在「耗时」列(`dataIndex: 'elapsed_ms'` 的对象)**之后**插入:
+
+```tsx
+    {
+      title: '广告收益',
+      dataIndex: 'ad_revenue_yuan',
+      width: 100,
+      align: 'right',
+      render: (v: number) => fmtYuan(v),
+    },
+```
+
+- [ ] **Step 4: 加宽横向滚动**
+
+找到主表 `scroll={{ x: 1450 }}`,改为:
+
+```tsx
+        scroll={{ x: 1560 }}
+```
+
+- [ ] **Step 5: 前端类型检查 / 构建**
+
+Run(在 `e:\project\shaguabijia-admin-web`): `npm run build`
+Expected: 构建成功、无 TS 类型错误。
+
+- [ ] **Step 6: 提交**
+
+```bash
+git add "src/app/(main)/coupon-data/page.tsx"
+git commit -m "feat(admin-web): ad revenue column in coupon data table"
+```
+
+---
+
+## 端到端验证(全部任务完成后)
+
+- [ ] **后端**:`pytest -q` 全绿;`alembic heads` 只有 `ad_ecpm_trace_id` 单 head。
+- [ ] **客户端**:装 debug 包,跑一次比价 + 一次领券(要有信息流广告展示);后端库 `ad_ecpm_record` 出现带 `trace_id`、`feed_scene in (comparison, coupon)` 的记录。
+- [ ] **看板**:admin 打开「比价记录」「领券数据」两页,新「广告收益」列对刚才那两次显示 > ¥0 的金额;旧数据(无 trace_id 上报)显示 `-`。
+- [ ] **口径核对**:任取一行,手动核对 `ad_ecpm_record` 中该 `trace_id` 的各条 `ecpm_raw`,按 `Σ min(ecpm/100, 500)/1000` 算出的值与页面一致。
+
+---
+
+## 回滚
+
+- 前端/客户端:回退对应 commit 即可(纯展示/上报,无副作用)。
+- 后端:`alembic downgrade -1` 撤 `ad_ecpm_trace_id`(会拆回两个 head——与本计划实施前状态一致);看板收益列在无 trace_id 列时会因查询报错,故 downgrade 迁移前需先回退 Phase A/B 的 commit。正常情况不需回滚。

docs/superpowers/specs/2026-07-16-inactivity-reset-design.md

@@ -0,0 +1,296 @@
+# 15 天不活跃自动清零（金币 + 现金）设计
+
+- **日期**：2026-07-16
+- **状态**：Draft — 待评审
+- **所属**：app-server（`app/`），含一处 admin 侧重构 + 一项 Android 端埋点依赖
+- **一句话**：连续 15 天不活跃的用户，自动清零其金币与现金；清零前按可配置节奏预警；全过程留审计以备纠纷排查。
+
+---
+
+## 1. 背景与目标
+
+运营需要对**长期不活跃**用户的钱包余额做清理。两条硬性要求：
+
+1. **可审计**：记录清零原因与**清零前的三桶余额**，便于后续排查与处理客户纠纷。
+2. **临清预警**：在临近清零前推送信息告知用户"因账号不活跃，账户里的 xx 金币和 xx 现金将被清零"。
+
+### 非目标（本期不做）
+
+- 不做真实推送通道（极光 JPush / 短信）的对接 —— 仅做**可插拔通知器 + 日志占位**，接口预留、后续无缝替换。
+- 不改动提现（`WithdrawOrder`）流程。
+- 不新增 `User.last_active_at` 列、不改鉴权热路径。
+
+---
+
+## 2. 需求
+
+| # | 需求 | 落地 |
+|---|---|---|
+| R1 | 连续 15 天不活跃 → 清零金币 + 现金 | 每日 worker 扫描 + 逐用户事务清零（§6） |
+| R2 | 记录清零原因 + 清零前余额 | `inactivity_reset_log` 审计表 + 3 条钱包流水（§5、§7） |
+| R3 | 临清前预警"xx 金币 xx 现金将清零" | 阶段 A 预警 + `inactivity_notification_log`（§6、§7） |
+| R4 | 活跃口径与"用户管理"一致 | 抽共享模块 `activity.py`，admin 与 worker 共用（§4、§12） |
+| R5 | 预警时机完全可配置 | `INACTIVITY_*` 配置项（§8） |
+
+---
+
+## 3. 决策记录（来自评审问答）
+
+| 决策点 | 结论 | 理由 |
+|---|---|---|
+| **活跃口径** | 与"用户管理"一致：`max(home_view, 比价, 领券)`，**不含 last_login_at**；无任何信号时以 `created_at` 为非空基线 | 比价可从**浮窗**触发、不进首页；`last_login_at` 只在登录/换绑动作更新（re-login 也算），代表不了"在用 App"，故彻底排除 |
+| **"进首页"信号落地** | **方案 A：前端上报 `home_view` 埋点**（复用 `/analytics/events`），非新接口 | 三个活跃信号统一为同类埋点事件；零新接口零新列；与 admin 口径天然一致。B（鉴权接口 + 列）"更权威"的优势是假的——比价/领券仍是端上报事件，最弱环决定整体可信度 |
+| **清零范围** | **金币 + 折算现金 + 邀请现金** 三桶全清 | 对应"账户里的金币和现金" |
+| **预警推送** | **可插拔通知器 + 日志占位**（v1），后续接 JPush/短信 | 现状无真实推送能力；先把清零主流程 + 审计做扎实，不阻塞 |
+| **预警时机** | **完全可配置**（提前天数列表 + 次数 + 执行点 + 通道） | R5 |
+| **触发方式** | **进程内每日 worker**，仿 `daily_exchange_worker` | 与项目最新模式一致，无需外部 cron |
+| **admin 共享口径** | 共享模块 + **重构 admin 改用它** | 单一真源，永不漂移（R4） |
+
+### 已知取舍（可接受）
+
+- analytics 的 `user_id` 是**端上报、未鉴权**（可伪造）。但伪造只能"保自己活跃、避免被清"，无收益，且正是本功能要防的行为，风险良性。活跃时间的非空基线由服务端权威的 `User.created_at` 提供（见 §4），不再依赖 `last_login_at`。与"用户管理"口径一致。
+
+---
+
+## 4. 活跃口径与共享模块 `app/repositories/activity.py`（新建）
+
+活跃口径的**唯一真源**。app 侧模块，admin 可 import（`app.main` 不 import `app.admin`，反向允许）。
+
+### 口径
+
+```
+last_active = max(
+    User.created_at,                                         # 注册基线(恒非空;re-login 不推进,只有真实使用才推进)
+    max AnalyticsEvent.created_at  WHERE event IN ACTIVE_EVENTS,
+    max CouponPromptEngagement.created_at WHERE engage_type == "claim_started",
+)
+不活跃判定：按北京自然日、0 点对齐（非从末次活跃时刻滚动 15×24h）
+  last_active_date = 北京(last_active).date()            # 末次活跃的北京日，记为「第 1 日」
+  清零边界 = 北京 00:00 of (last_active_date + RESET_DAYS 天) =「第 (RESET_DAYS+1) 日 0 点」  # 15 → 第16日0点
+  应清零 ⟺ (cn_today() − last_active_date).days ≥ RESET_DAYS
+        ⟺ last_active < cutoff， cutoff = 北京 00:00 of (cn_today() − (RESET_DAYS−1))   # 供 SQL 比较
+  inactive_days = (cn_today() − last_active_date).days   # 清零当日恰 = RESET_DAYS
+  例：末次活跃 1/1 → 1/16 00:00(第16日0点)清零，当日 inactive_days=15；1/15 及之前不清
+```
+
+### 模块内容
+
+- 常量：
+  - `ACTIVE_EVENTS = (HOME_VIEW_EVENT, "real_compare_start", "real_coupon_start")` —— 进首页 + 比价 + 领券。**`HOME_VIEW_EVENT` 事件名待前端确认**（明天加埋点时定；暂记 `"home_view"`）。
+  - `ACTIVE_ENGAGE_TYPE = "claim_started"`
+- `last_active_subqueries(db)` —— 复刻现 admin `queries._last_active_parts()`：两个按 `user_id` 的 `GROUP BY max(created_at)` 聚合子查询。
+- `last_active_expr(base_col, ev_sub, eng_sub, dialect)` —— 生成 `greatest`/`max`（PG `func.greatest`／SQLite `func.max`）；子聚合缺失时 `coalesce(子聚合, User.created_at)` 兜底（注册基线恒非空，**替代原 last_login_at**）。
+- `_norm_utc()` —— 沿用现 admin 的 naive→UTC 归一（SQLite naive / PG aware 混算保护）。
+- `reset_cutoff(reset_days)` / `warn_cutoff(reset_days, k)` —— 生成**北京 0 点对齐**的边界 datetime（见口径）：`reset_cutoff = 北京 00:00 of (cn_today() − (reset_days−1))`，供下面查询按 `last_active < cutoff` 比较。
+- `select_inactive_users(db, *, cutoff, with_balance=True)` —— **worker 专用**：join `CoinAccount`，筛 `last_active < cutoff`（cutoff = 北京 0 点对齐边界，见口径）且（`coin_balance>0 OR cash_balance_cents>0 OR invite_cash_balance_cents>0`），返回 `(user, account, last_active, inactive_days)`。
+- `select_warn_targets(db, *, reset_days, warn_days_before)` —— **worker 专用**：返回 `(user, account, last_active, inactive_days, stage)` 元组——各"提前天数"窗口内、有余额、本 streak 未推过档 `stage` 的用户（去重结合 `notification_log`，逻辑见 §9）。
+
+> **参考现状**：现口径散落在 `app/admin/repositories/queries.py:38,91-124,199-204`（`_ACTIVE_EVENTS`/`_last_active_parts`/`greatest`）与 `app/admin/repositories/stats.py:51-52,138-146`（`COMPARE_START_EVENT`/`COUPON_START_EVENT`/活跃用户集）。这些改为从 `activity.py` 导入（§12）。
+
+---
+
+## 5. 数据模型（2 张新表，不动 `User`）
+
+两表均登记进 `app/models/__init__.py`；一个 Alembic 迁移建两表（`render_as_batch`，SQLite 兼容）。
+
+### ① `inactivity_reset_log` —— 清零审计（R2）
+
+仿 `app/models/phone_rebind_log.py` 的简单审计表风格。
+
+| 字段 | 类型 | 说明 |
+|---|---|---|
+| `id` | int PK autoincrement | |
+| `user_id` | int, index, not null | |
+| `coin_balance_before` | int, not null | 清零前金币 |
+| `cash_balance_cents_before` | int, not null | 清零前折算现金（分） |
+| `invite_cash_balance_cents_before` | int, not null | 清零前邀请现金（分） |
+| `last_active_at` | DateTime(tz), nullable | 判定时的最近活跃时间 |
+| `inactive_days` | int, not null | 判定时不活跃天数 |
+| `reason` | String(32), not null | 如 `"inactive_15d"` |
+| `reset_at` | DateTime(tz), server_default now(), index, not null | 清零时刻 |
+
+### ② `inactivity_notification_log` —— 预警记录 + 去重 + 占位 outbox（R3）
+
+| 字段 | 类型 | 说明 |
+|---|---|---|
+| `id` | int PK autoincrement | |
+| `user_id` | int, index, not null | |
+| `stage` | int, not null | 提前天数档（如 7 / 2） |
+| `inactive_days` | int, not null | 推送时不活跃天数 |
+| `coin_balance` | int, not null | 推送快照：告知用户的金币数 |
+| `cash_balance_cents` | int, not null | 推送快照：折算现金 |
+| `invite_cash_balance_cents` | int, not null | 推送快照：邀请现金 |
+| `channel` | String(16), not null | `"log"` / `"jpush"` / `"sms"` |
+| `status` | String(16), not null | `"placeholder"` / `"sent"` / `"failed"` |
+| `created_at` | DateTime(tz), server_default now(), index, not null | 去重锚点（见 §9） |
+
+> 备注：不新增 `User.last_active_at` 列，不改 `get_current_user`。活跃时间由 §4 口径**实时计算**。
+
+---
+
+## 6. 清零 worker `app/core/inactivity_reset_worker.py`（新建）
+
+**完全仿 [`app/core/daily_exchange_worker.py`](../../../app/core/daily_exchange_worker.py)**：App 启动自带 asyncio 任务，文件锁（`data/inactivity_reset.lock`）防同机多进程并发，总闸 `INACTIVITY_RESET_ENABLED`（默认关）。
+
+### 调度
+
+- 每 `INACTIVITY_RESET_CHECK_INTERVAL_SEC` 秒醒一次；`last_run: date` 守卫**北京日**，保证每日只跑一轮。
+- 仅当 `cn_today() != last_run` 且当前北京小时 `>= INACTIVITY_RESET_RUN_HOUR` 时执行（启动补跑同 daily_exchange 语义）。
+- **清零资格边界 = 第 16 日 0 点（北京，见 §4），与 worker 执行点解耦**：worker 于当日 `RUN_HOUR`（默认 3 点）跑，把已过边界者一并清；若要严格 0 点触发可置 `RUN_HOUR=0`，但注意与 `daily_auto_exchange` 的 0 点任务错峰。
+- lifespan 里 `start_inactivity_reset_worker()` / `stop_...`（仿 `start_daily_exchange_worker` 在 `app/main.py` 的接线）。
+
+### 一轮 `run_once(db)` 两阶段（同一次运行、各自逐用户独立 commit）
+
+**阶段 A — 预警**
+```
+for user, acc, last_active, inactive_days, stage in activity.select_warn_targets(...):
+    notifier.send_inactivity_warning(user, balances=snapshot(acc), stage=stage, days_until_reset=RESET_DAYS-inactive_days)
+    db.add(InactivityNotificationLog(..., channel=notifier.channel, status=notifier.last_status))
+    db.commit()   # 逐条独立
+```
+
+**阶段 B — 清零**（`biz_type="inactivity_reset"`）
+```
+for user, acc, last_active, inactive_days in activity.select_inactive_users(db, cutoff=activity.reset_cutoff(RESET_DAYS)):  # 北京 00:00 of (今天−(RESET_DAYS−1))
+    try:
+        acc = wallet.get_or_create_account(db, user.id, commit=False, lock=True)   # 行锁
+        before = (acc.coin_balance, acc.cash_balance_cents, acc.invite_cash_balance_cents)
+        if before == (0,0,0): continue
+        log = InactivityResetLog(user_id=user.id, coin_balance_before=before[0],
+              cash_balance_cents_before=before[1], invite_cash_balance_cents_before=before[2],
+              last_active_at=last_active, inactive_days=inactive_days, reason=f"inactive_{RESET_DAYS}d")
+        db.add(log); db.flush()   # 拿 log.id 作 ref_id 交叉链接
+        if acc.coin_balance:              wallet.grant_coins(db, user.id, -acc.coin_balance, biz_type="inactivity_reset", ref_id=str(log.id), remark="15天不活跃清零")
+        if acc.cash_balance_cents:        wallet.grant_cash(db, user.id, -acc.cash_balance_cents, biz_type="inactivity_reset", ref_id=str(log.id), remark="15天不活跃清零")
+        if acc.invite_cash_balance_cents: wallet.grant_invite_cash(db, user.id, -acc.invite_cash_balance_cents, biz_type="inactivity_reset", ref_id=str(log.id), remark="15天不活跃清零")
+        db.commit()
+    except SQLAlchemyError:
+        db.rollback(); stats["failed"] += 1
+```
+
+- `grant_*` 负数出账、`balance_after=0`、写三条流水；`grant_coins` 负数**不**动 `total_coin_earned`（历史累计保留）。
+- 逐用户独立 commit：一个失败不影响其余。返回 `stats = {scanned, warned, cleared, failed}` 并 `logger.info`。
+
+---
+
+## 7. 预警与可插拔通知器
+
+`app/integrations/notifier.py` 定义协议（外部投递属 integrations 层）：
+
+```python
+class InactivityNotifier(Protocol):
+    channel: str          # "log" / "jpush" / "sms"
+    last_status: str      # "placeholder" / "sent" / "failed"
+    def send_inactivity_warning(self, user, *, balances, stage, days_until_reset) -> None: ...
+```
+
+- **v1 `LogNotifier`**（`channel="log"`）：`logger.warning("[inactivity-warn] user=%s coin=%s cash=%s invite=%s T-%s", ...)`，`last_status="placeholder"`。参照 `heartbeat_monitor_worker` 先例（"本期先不接推送，用终端打印代替"）。
+- 未来 `JPushNotifier` / `SmsNotifier`：实现同协议即可替换，worker 不改。
+- 选择：`INACTIVITY_NOTIFY_CHANNEL` → 工厂返回对应实现（未配到真实实现时回退 `LogNotifier`）。
+- 预警文案数据来自快照 `balances`，满足 R3"告知 xx 金币 xx 现金"。
+
+---
+
+## 8. 配置项（`app/core/config.py`）
+
+```
+INACTIVITY_RESET_ENABLED       = False    # 总闸，默认关；灰度验证后再开
+INACTIVITY_RESET_DAYS          = 15       # 不活跃阈值（天）
+INACTIVITY_WARN_DAYS_BEFORE    = "7,2"    # 清零前几天各推一次；空串=不推。逗号分隔，降序解析
+INACTIVITY_RESET_RUN_HOUR      = 3        # 北京时间每日执行点（0-23）
+INACTIVITY_NOTIFY_CHANNEL      = "log"    # log(占位) / jpush / sms
+INACTIVITY_RESET_CHECK_INTERVAL_SEC = 1800  # worker 唤醒间隔（可复用现有间隔常量）
+```
+
+- 清零范围（三桶）固定为常量，不做配置。
+- `INACTIVITY_WARN_DAYS_BEFORE` 语义（`inactive_days` 为北京自然日，见 §4）：档位 `k` ⟹ 当 `inactive_days >= RESET_DAYS-k` 且 `< RESET_DAYS` 且本 streak 未推过档 `k` 时预警，即在北京日 `last_active_date + (RESET_DAYS−k)` 触发（漏跑某天时补发最紧急未推档，§9）。
+- `INACTIVITY_RESET_RUN_HOUR` 只决定 worker 每日执行点，**不改变**"第 16 日 0 点"这一资格边界（§4/§6）。
+
+---
+
+## 9. 幂等与重新活跃
+
+- **重新活跃自动退出**：`inactive_days` 由 §4 口径**实时算**。用户一有 `home_view`/比价/领券（**登录本身不算**），`last_active` 前移，自动移出预警与清零队列。**无需**显式"重置标记"。
+- **预警去重**：`inactivity_notification_log` 中存在 `stage==k 且 created_at > last_active` 的行 ⟹ 本 streak 已推过档 `k`，不重推。用户回归后 `last_active` 前移，旧预警行自然"失效"，开启新 streak。
+- **清零幂等**：阶段 B 只处理三桶非全 0 者；清完 = 0，次日不再匹配。worker 重启 / 多次唤醒 / 补跑均安全，不产生重复清零或重复流水。
+- **稳健补发**：worker 漏跑数天后，某用户可能同时满足多档；只补发**最紧急的未推档**（最小 `k`），避免一次刷屏。
+
+---
+
+## 10. 边界与安全
+
+| 场景 | 处理 |
+|---|---|
+| 新用户 | `created_at` 作活跃基线（恒非空）→ 注册即"第 1 日活跃"；注册后连续 15 天无 home_view/比价/领券 才清 |
+| 在途提现 | 提现申请时现金已扣入 `WithdrawOrder`，当前余额已不含在途；只清当前余额、不动提现单。提现失败退款到已清账户 = 用户的钱，正常 |
+| 与 `daily_auto_exchange` 并存 | 各自逐用户幂等；金币多已日结折现金，三桶全清正好覆盖 |
+| 时区/日界 | 统一北京（`rewards.cn_today()`/`CN_TZ`）；**清零/预警按北京自然日 0 点对齐**（末次活跃记为第 1 日 → 第 16 日 0 点清零，见 §4），非滚动 24h；流水 `created_at` 沿用北京 wall-clock naive |
+| 误清防护 | 总闸默认关；先灰度只看预警/清零**名单**对不对，再开清零（§13） |
+
+---
+
+## 11. 前端依赖：`home_view` 埋点（跨仓 — Android）
+
+- **Android 端**（`shaguabijia-app-android`）需在**首页可见**（`onResume`/Tab 切入）时，向现有 `POST /api/v1/analytics/events` 批量上报里加一条 `event=<首页可见事件名>`（名称明天加埋点时定，暂记 `"home_view"`） 的事件，**携带登录后的 `user_id`**。
+- 客户端按会话/前台去重即可（服务端只取 `max(created_at)`，多报无害）。
+- **上线顺序依赖**：`home_view` 全量覆盖前，"进首页"信号缺失，只有比价/领券能推进活跃、其余落到 `created_at` 基线（"只开首页不操作"且注册满 15 天的用户会被误清）—— 故清零总闸必须待 `home_view` 铺满后再开（§13）。
+
+---
+
+## 12. admin 重构范围与影响（R4）
+
+- `app/admin/repositories/queries.py`：删本地 `_ACTIVE_EVENTS`/`_last_active_parts()`，改用 `activity.py` 的常量与子查询构造；`list_users` 的 `greatest(...)` 排序/筛选、`_attach_last_active` 均改走共享构造器。
+- `app/admin/repositories/stats.py`：`COMPARE_START_EVENT`/`COUPON_START_EVENT`/活跃用户集（`:138-146`）改用共享常量与口径。
+- **行为变化（预期内、需产品知会）**：admin 的"最近活跃 / DAU"口径变化——**移除 `last_login_at`（登录不再计为活跃）、以 `created_at` 为基线、纳入 `home_view`**。net：`home_view` 铺满后更准（真正把"开首页"算进活跃）；铺满前"只登录不操作"的用户活跃度会下降。
+- **回归底线**：现有 admin 用户列表 / stats 测试按新口径**更新预期**（last_login_at 移除 + created_at 基线 + home_view 纳入）；非活跃口径部分行为不变。
+
+---
+
+## 13. 灰度与上线顺序（安全优先）
+
+1. **后端先行**：合入共享模块 + 两表 + worker + 通知器，`INACTIVITY_RESET_ENABLED=False`；活跃口径以 `created_at` 为非空基线、**不含 last_login_at**。
+2. **Android 发版**：上报 `home_view`；观察 analytics 覆盖率。
+3. **只读灰度**：临时开一个"dry-run/只出名单不清零"路径或看阶段 A 预警日志，核对预警/清零**名单**准确。
+4. **开清零**：确认无误后置 `INACTIVITY_RESET_ENABLED=True`。
+5. **收尾/监控**：持续观察 `home_view` 覆盖率与预警/清零名单；发现"活跃却被判不活跃"的漏报即回查埋点覆盖（口径已不含 last_login_at，登录不再兜底）。
+
+---
+
+## 14. 测试计划
+
+- **活跃口径（共享模块）**：`home_view`/比价/领券 各单独命中都算活跃；**纯登录不算**；无信号用户以 `created_at` 计；`max` 取最新；naive/aware 混算不崩。
+- **admin 回归**：用户列表 / stats 按新口径更新预期（移除 last_login_at + created_at 基线 + home_view）。
+- **不活跃判定**：`last_active` 分别 `<15d / =15d / >15d` × 有/无余额 的命中矩阵。
+- **清零**：三桶归零；`inactivity_reset_log` 清前值正确；三条流水 `biz_type=inactivity_reset`、`balance_after=0`、`ref_id=log.id`；`total_coin_earned` 不变。
+- **预警**：命中窗口调 notifier + 写 `notification_log`；同 streak 不重推；回归后 `last_active` 前移可再次预警；漏跑补发最紧急档。
+- **worker**：总闸关不启动；文件锁互斥；逐用户失败隔离（一个抛错不影响其余，`failed` 计数）；重复跑幂等。
+- **配置**：`INACTIVITY_WARN_DAYS_BEFORE` 解析（含空串=不推）；`RESET_DAYS`/`RUN_HOUR` 生效。
+- 沿用 `tests/conftest.py`（临时 SQLite、`RATE_LIMIT_ENABLED=false`）；外部通知 monkeypatch。
+
+---
+
+## 15. 未来工作
+
+- 接真实 `JPushNotifier`（需用户级 `registration_id` 覆盖 + JPush push API）/ `SmsNotifier`。
+- 如需 admin 后台可视化：不活跃/预警/清零名单与历史查询接口。
+- 如量级增长导致每日 join 扫描变慢：再考虑物化 `last_active_at`（当前每日一次可接受）。
+
+---
+
+## 附：涉及文件清单
+
+**新增**
+- `app/repositories/activity.py` — 活跃口径唯一真源
+- `app/models/inactivity_reset_log.py` — 审计表
+- `app/models/inactivity_notification_log.py` — 预警/占位表
+- `app/core/inactivity_reset_worker.py` — 每日 worker（仿 daily_exchange_worker）
+- `app/integrations/notifier.py` — 通知器协议 + `LogNotifier`（真实 JPush/短信后续同层扩展）
+- `alembic/versions/<...>_add_inactivity_tables.py` — 建两表迁移
+- `docs/database/inactivity_reset_log.md` / `inactivity_notification_log.md` — 表字典（随实现补）
+- 对应 `tests/test_inactivity_reset.py`
+
+**改动**
+- `app/models/__init__.py` — 注册两模型
+- `app/core/config.py` — `INACTIVITY_*` 配置
+- `app/main.py` — lifespan 接线 start/stop worker
+- `app/admin/repositories/queries.py`、`stats.py` — 改用 `activity.py`（§12）

scripts/seed_mock_llm_cost.py

@@ -0,0 +1,248 @@
+"""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_ad_ecpm_trace_revenue.py

@@ -0,0 +1,73 @@
+"""ad_ecpm_record.trace_id 落库 + 按 trace 聚合广告收益(元)。"""
+from __future__ import annotations
+
+from datetime import UTC, datetime
+
+from sqlalchemy import delete
+
+from app.db.session import SessionLocal
+from app.models.ad_ecpm import AdEcpmRecord
+from app.repositories import ad_ecpm as crud_ecpm
+
+
+def _ecpm(trace_id: str, ecpm_raw: str, session_id: str) -> AdEcpmRecord:
+    """构造一条 Draw 展示 eCPM(不 commit;ad_session_id 全局唯一,须各不相同)。"""
+    return AdEcpmRecord(
+        user_id=1,
+        ad_type="draw",
+        feed_scene="comparison",
+        ad_session_id=session_id,
+        ecpm_raw=ecpm_raw,
+        trace_id=trace_id,
+        report_date="2020-01-02",
+        created_at=datetime(2020, 1, 2, tzinfo=UTC),
+    )
+
+
+def test_revenue_yuan_by_trace_sums_and_clamps() -> None:
+    """同一 trace 多条展示求和;收益=min(eCPM元,¥500)/1000;无展示的 trace 不出现。
+
+    ecpm 200 分→2.0 元/千次→0.002 元/次;300 分→0.003;合计 0.005。
+    """
+    db = SessionLocal()
+    try:
+        db.add_all([
+            _ecpm("t1", "200", "sess-t1-a"),
+            _ecpm("t1", "300", "sess-t1-b"),
+            _ecpm("t2", "0", "sess-t2-a"),
+            _ecpm("t_cap", "60000", "sess-cap-a"),  # 600 元 CPM > ¥500 钳顶
+        ])
+        db.flush()
+        rev = crud_ecpm.revenue_yuan_by_trace(db, ["t1", "t2", "t3", "t_cap"])
+        assert rev["t1"] == 0.005
+        assert rev["t2"] == 0.0  # 有展示但 eCPM=0 → 0 元(仍在结果里)
+        assert "t3" not in rev  # 无展示的 trace 不出现在结果里
+        assert rev["t_cap"] == 0.5  # min(¥600, ¥500)/1000,证明钳顶生效(非 0.6)
+    finally:
+        db.rollback()
+        db.close()
+
+
+def test_revenue_yuan_by_trace_empty() -> None:
+    """空 trace 列表直接返回 {}(避免 IN () 非法)。"""
+    db = SessionLocal()
+    try:
+        assert crud_ecpm.revenue_yuan_by_trace(db, []) == {}
+    finally:
+        db.close()
+
+
+def test_create_ecpm_record_persists_trace_id() -> None:
+    """create_ecpm_record 落 trace_id。"""
+    db = SessionLocal()
+    try:
+        rec = crud_ecpm.create_ecpm_record(
+            db, 1, ad_type="draw", ecpm_raw="150",
+            ad_session_id="sess-trace-persist", feed_scene="coupon",
+            trace_id="trace-xyz",
+        )
+        assert rec.trace_id == "trace-xyz"
+    finally:
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.ad_session_id == "sess-trace-persist"))
+        db.commit()
+        db.close()

tests/test_auth.py

@@ -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"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_board_ad_revenue.py

@@ -0,0 +1,87 @@
+"""两个看板逐行「本次广告收益」(元):按 trace_id 聚合 ad_ecpm_record。"""
+from __future__ import annotations
+
+from datetime import UTC, date, datetime
+
+from sqlalchemy import delete
+
+from app.admin.repositories import queries
+from app.admin.repositories.coupon_data import coupon_data_report, coupon_user_records
+from app.db.session import SessionLocal
+from app.models.ad_ecpm import AdEcpmRecord
+from app.models.comparison import ComparisonRecord
+from app.models.coupon_state import CouponSession
+
+
+def _ecpm(trace_id: str, ecpm_raw: str, session_id: str, scene: str) -> AdEcpmRecord:
+    return AdEcpmRecord(
+        user_id=1, ad_type="draw", feed_scene=scene, ad_session_id=session_id,
+        ecpm_raw=ecpm_raw, trace_id=trace_id, report_date="2020-01-02",
+        created_at=datetime(2020, 1, 2, tzinfo=UTC),
+    )
+
+
+def test_coupon_data_report_includes_ad_revenue() -> None:
+    """领券看板明细行带本次广告收益;200+300 分 → 0.005 元。"""
+    db = SessionLocal()
+    try:
+        db.add(CouponSession(
+            trace_id="rev-cp-1", device_id="d1", status="completed", app_env="prod",
+            platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
+            started_at=datetime(2020, 1, 2, tzinfo=UTC), started_date=date(2020, 1, 2),
+        ))
+        db.add_all([
+            _ecpm("rev-cp-1", "200", "cp-sess-a", "coupon"),
+            _ecpm("rev-cp-1", "300", "cp-sess-b", "coupon"),
+        ])
+        db.flush()
+        res = coupon_data_report(db, date_from="2020-01-02", date_to="2020-01-02", app_env="prod")
+        row = next(r for r in res["items"] if r["trace_id"] == "rev-cp-1")
+        assert row["ad_revenue_yuan"] == 0.005
+    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。
+
+    用独有 user_id 过滤,确保本行必落在第一页(避免共享测试库里同 user 记录多、分页把它挤掉)。
+    """
+    db = SessionLocal()
+    try:
+        db.add(ComparisonRecord(
+            trace_id="rev-cmp-1", user_id=987654, status="success", business_type="food",
+            created_at=datetime(2020, 1, 2, tzinfo=UTC),
+        ))
+        db.add(_ecpm("rev-cmp-1", "200", "cmp-sess-a", "comparison"))
+        db.commit()
+        items, _next, _total = queries.list_comparison_records(db, user_id=987654)
+        row = next(it for it in items if it.trace_id == "rev-cmp-1")
+        assert row.ad_revenue_yuan == 0.002
+    finally:
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.trace_id.in_(["rev-cmp-1"])))
+        db.execute(delete(ComparisonRecord).where(ComparisonRecord.trace_id == "rev-cmp-1"))
+        db.commit()
+        db.close()
+
+
+def test_coupon_user_records_includes_ad_revenue() -> None:
+    """手机号抽屉的用户领券记录也带本次广告收益(400 分 → 0.004 元)。"""
+    db = SessionLocal()
+    try:
+        db.add(CouponSession(
+            trace_id="rev-drawer-1", device_id="d2", status="completed", app_env="prod",
+            user_id=987655, platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
+            started_at=datetime(2020, 1, 2, tzinfo=UTC), started_date=date(2020, 1, 2),
+        ))
+        db.add(_ecpm("rev-drawer-1", "400", "drawer-sess-a", "coupon"))
+        db.commit()
+        res = coupon_user_records(db, user_id=987655)
+        row = next(r for r in res["items"] if r["trace_id"] == "rev-drawer-1")
+        assert row["ad_revenue_yuan"] == 0.004
+    finally:
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.trace_id == "rev-drawer-1"))
+        db.execute(delete(CouponSession).where(CouponSession.trace_id == "rev-drawer-1"))
+        db.commit()
+        db.close()

tests/test_inactivity_reset.py

@@ -0,0 +1,192 @@
+"""15 天不活跃清零:模型 / 活跃口径 / 清零 / 预警 / 配置 / worker。"""
+from __future__ import annotations
+
+from datetime import date, datetime, timedelta, timezone
+
+import pytest
+from sqlalchemy import delete, select, update
+
+from app.db.session import SessionLocal
+from app.models.inactivity import InactivityNotificationLog, InactivityResetLog
+from app.repositories import activity
+
+
+def test_reset_and_notification_models_persist() -> None:
+    db = SessionLocal()
+    try:
+        db.add(InactivityResetLog(
+            user_id=1, coin_balance_before=10, cash_balance_cents_before=20,
+            invite_cash_balance_cents_before=30,
+            last_active_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
+            inactive_days=15, reason="inactive_15d",
+        ))
+        db.add(InactivityNotificationLog(
+            user_id=1, stage=7, inactive_days=8, coin_balance=10,
+            cash_balance_cents=20, invite_cash_balance_cents=30,
+            channel="log", status="placeholder",
+        ))
+        db.commit()
+        r = db.execute(select(InactivityResetLog).where(InactivityResetLog.user_id == 1)).scalar_one()
+        assert r.reason == "inactive_15d" and r.reset_at is not None
+        n = db.execute(select(InactivityNotificationLog).where(InactivityNotificationLog.user_id == 1)).scalar_one()
+        assert n.stage == 7 and n.created_at is not None
+    finally:
+        db.rollback()
+        db.close()
+
+
+def test_reset_cutoff_is_cn_midnight_of_today_minus_days_minus_1() -> None:
+    # RESET_DAYS=15, today=1/20 → cutoff = 北京 00:00 of 1/6 = 1/5 16:00 UTC
+    cutoff = activity.reset_cutoff(15, today=date(2026, 1, 20))
+    assert cutoff == datetime(2026, 1, 5, 16, 0, tzinfo=timezone.utc)
+
+
+def test_active_event_constants() -> None:
+    assert activity.HOME_VIEW_EVENT in activity.ACTIVE_EVENTS
+    assert "real_compare_start" in activity.ACTIVE_EVENTS
+    assert "real_coupon_start" in activity.ACTIVE_EVENTS
+    assert activity.ACTIVE_ENGAGE_TYPE == "claim_started"
+
+
+def test_as_utc_normalizes() -> None:
+    assert activity.as_utc(datetime(2026, 1, 1)) == datetime(2026, 1, 1, tzinfo=timezone.utc)
+    cn = datetime(2026, 1, 1, tzinfo=activity.CN_TZ)  # 北京 0 点 = 前一天 16:00 UTC
+    assert activity.as_utc(cn) == datetime(2025, 12, 31, 16, 0, tzinfo=timezone.utc)
+
+
+from app.core.rewards import CN_TZ
+from app.models.analytics_event import AnalyticsEvent
+from app.models.coupon_state import CouponPromptEngagement
+from app.models.user import User
+from app.models.wallet import CoinAccount
+from app.repositories import wallet as wallet_repo
+
+_PHONE_SEQ = [0]
+
+
+@pytest.fixture(autouse=True)
+def _isolate_inactivity_state():
+    """本文件的测试都做全表扫描 + 全局计数,而 SQLite 测试库 session 级共享、无逐用例回滚
+    (commit 后的 rollback 是 no-op),故先把可能泄漏的余额清零 + 清掉活跃事件/审计行,
+    保证每个用例干净起步。不删 User(零余额用户不会被扫描选中,避免跨文件/外键影响)。"""
+    db = SessionLocal()
+    try:
+        db.execute(update(CoinAccount).values(
+            coin_balance=0, cash_balance_cents=0, invite_cash_balance_cents=0))
+        for model in (AnalyticsEvent, CouponPromptEngagement,
+                      InactivityResetLog, InactivityNotificationLog):
+            db.execute(delete(model))
+        db.commit()
+    finally:
+        db.close()
+    yield
+
+
+def _new_user(db, *, created_at, coin=0, cash=0, invite=0) -> int:
+    """直接建一个 User + CoinAccount,created_at 可控。返回 user_id。"""
+    _PHONE_SEQ[0] += 1
+    u = User(phone=f"139{_PHONE_SEQ[0]:08d}", created_at=created_at,
+             last_login_at=created_at, status="active",
+             username=f"2{_PHONE_SEQ[0]:010d}")
+    db.add(u)
+    db.flush()
+    acc = wallet_repo.get_or_create_account(db, u.id, commit=False)
+    acc.coin_balance, acc.cash_balance_cents, acc.invite_cash_balance_cents = coin, cash, invite
+    acc.total_coin_earned = coin
+    db.flush()
+    return u.id
+
+
+def _add_event(db, user_id, event, when: datetime) -> None:
+    db.add(AnalyticsEvent(event=event, device_id="d", user_id=user_id, client_ts=0, created_at=when))
+
+
+def _add_engage(db, user_id, when: datetime, engage_type="claim_started") -> None:
+    db.add(CouponPromptEngagement(device_id=f"dev{user_id}", package="p", user_id=user_id,
+                                  engage_date=when.date(), engage_type=engage_type, created_at=when))
+
+
+def test_last_active_expr_takes_max_of_baseline_and_events() -> None:
+    from sqlalchemy import select
+    db = SessionLocal()
+    try:
+        base = datetime(2026, 1, 1, tzinfo=timezone.utc)
+        uid = _new_user(db, created_at=base, coin=5)
+        _add_event(db, uid, "real_compare_start", datetime(2026, 1, 10, tzinfo=timezone.utc))
+        db.commit()
+        ev_sub, eng_sub = activity.last_active_subqueries(db)
+        dialect = db.get_bind().dialect.name
+        expr = activity.last_active_expr(User.created_at, ev_sub, eng_sub, dialect)
+        stmt = (select(expr).select_from(User)
+                .outerjoin(ev_sub, ev_sub.c.user_id == User.id)
+                .outerjoin(eng_sub, eng_sub.c.user_id == User.id)
+                .where(User.id == uid))
+        got = activity.norm_utc(db.execute(stmt).scalar_one())
+        assert got == datetime(2026, 1, 10, tzinfo=timezone.utc)  # 事件 > 基线
+    finally:
+        db.rollback()
+        db.close()
+
+
+def test_inactivity_warn_stages_parsing() -> None:
+    from app.core.config import Settings
+    s = Settings(INACTIVITY_WARN_DAYS_BEFORE="7,2", INACTIVITY_RESET_DAYS=15)
+    assert s.inactivity_warn_stages == [7, 2]        # 降序去重
+    s2 = Settings(INACTIVITY_WARN_DAYS_BEFORE="", INACTIVITY_RESET_DAYS=15)
+    assert s2.inactivity_warn_stages == []           # 空=不推
+    s3 = Settings(INACTIVITY_WARN_DAYS_BEFORE="2,20,7,2", INACTIVITY_RESET_DAYS=15)
+    assert s3.inactivity_warn_stages == [7, 2]        # 去重 + 丢弃 >=RESET_DAYS(20)
+
+
+def test_log_notifier_returns_placeholder(caplog) -> None:
+    from app.integrations.notifier import LogNotifier, get_notifier
+    n = get_notifier("log")
+    assert isinstance(n, LogNotifier) and n.channel == "log"
+    status = n.warn(user_id=1, coin=10, cash_cents=20, invite_cash_cents=30, stage=7, days_until_reset=8)
+    assert status == "placeholder"
+    # 未实现通道回退 LogNotifier(占位)
+    assert get_notifier("jpush").channel == "log"
+
+
+def test_run_reset_clears_three_buckets_and_writes_audit_and_flows() -> None:
+    from sqlalchemy import select
+    from app.models.wallet import CoinAccount, CoinTransaction, CashTransaction, InviteCashTransaction
+    from app.repositories import inactivity
+
+    db = SessionLocal()
+    try:
+        today = date(2026, 2, 1)
+        # 末次活跃 = created_at 基线 = 1/10(距 today 22 天 → 应清)
+        old = _new_user(db, created_at=datetime(2026, 1, 10, tzinfo=timezone.utc),
+                        coin=100, cash=200, invite=300)
+        # 活跃用户:昨天有 home_view → 不清
+        fresh = _new_user(db, created_at=datetime(2026, 1, 1, tzinfo=timezone.utc), coin=50)
+        _add_event(db, fresh, "home_view", datetime(2026, 1, 31, tzinfo=timezone.utc))
+        db.commit()
+
+        stats = inactivity.run_reset_once(db, reset_days=15, today=today)
+        assert stats["cleared"] == 1 and stats["failed"] == 0
+
+        acc = db.get(CoinAccount, old)
+        assert (acc.coin_balance, acc.cash_balance_cents, acc.invite_cash_balance_cents) == (0, 0, 0)
+        assert acc.total_coin_earned == 100  # 历史累计不动
+
+        log = db.execute(select(InactivityResetLog).where(InactivityResetLog.user_id == old)).scalar_one()
+        assert (log.coin_balance_before, log.cash_balance_cents_before,
+                log.invite_cash_balance_cents_before) == (100, 200, 300)
+        assert log.inactive_days == 22 and log.reason == "inactive_15d"
+
+        ct = db.execute(select(CoinTransaction).where(
+            CoinTransaction.user_id == old, CoinTransaction.biz_type == "inactivity_reset")).scalar_one()
+        assert ct.amount == -100 and ct.balance_after == 0 and ct.ref_id == str(log.id)
+        assert db.execute(select(CashTransaction).where(
+            CashTransaction.user_id == old, CashTransaction.biz_type == "inactivity_reset")).scalar_one().amount_cents == -200
+        assert db.execute(select(InviteCashTransaction).where(
+            InviteCashTransaction.user_id == old, InviteCashTransaction.biz_type == "inactivity_reset")).scalar_one().amount_cents == -300
+
+        # 活跃用户不动;再跑一次幂等(已清零 → 不再匹配)
+        assert db.get(CoinAccount, fresh).coin_balance == 50
+        assert inactivity.run_reset_once(db, reset_days=15, today=today)["cleared"] == 0
+    finally:
+        db.rollback()
+        db.close()

tests/test_llm_cost.py

@@ -0,0 +1,184 @@
+"""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

@@ -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