Merge branch 'main' into codex/fix-comparison-token-cost

将回填窗口和价格配置生效时间统一转换为北京墙钟时间，避免改价前记录使用新价格重算，并补充改价前后边界回归测试。

.env.example

@@ -139,6 +139,11 @@ PRICEBOT_COMPARE_TIMEOUT_SEC=60
 # 必须与 pricebot 侧的 INTERNAL_API_SECRET **同值**;留空 = 内部写端点关闭(返 503)。
 # 启用前两边都填同一高熵串:python -c "import secrets; print(secrets.token_urlsafe(48))"
 INTERNAL_API_SECRET=
+# 新版比价 harvest 完成后即时回填；以下 worker 再补偿短暂故障期间漏掉的记录。
+LLM_COST_BACKFILL_ENABLED=true
+LLM_COST_BACKFILL_INTERVAL_SEC=300
+LLM_COST_BACKFILL_BATCH_SIZE=100
+LLM_COST_BACKFILL_LOOKBACK_DAYS=30
 
 # ===== CORS =====
 # 逗号分隔,生产留空(只让 app 调,不开放 web)。本地开发可加 http://localhost:5173 之类

app/admin/repositories/ad_audit.py

@@ -12,10 +12,11 @@
 """
 from __future__ import annotations
 
-from sqlalchemy import func, select
+from sqlalchemy import func, or_, select
 from sqlalchemy.orm import Session
 
 from app.core import rewards
+from app.models.ad_ecpm import AdEcpmRecord
 from app.models.ad_feed_reward import AdFeedRewardRecord
 from app.models.ad_reward import AdRewardRecord
 from app.repositories.ad_feed_reward import FEED_REWARD_UNIT_SECONDS
@@ -55,10 +56,21 @@ def _reward_video_rows(
     if user_id is not None:
         stmt = stmt.where(AdRewardRecord.user_id == user_id)
 
+    records = list(db.execute(stmt).scalars())
+    # S2S 发奖回调不携带实际填充 ADN；用相同用户和 ad_session_id 的展示记录回填。
+    session_ids = {record.ad_session_id for record in records if record.ad_session_id}
+    impression_by_session = {
+        (record.user_id, record.ad_session_id): record
+        for record in db.execute(
+            select(AdEcpmRecord).where(AdEcpmRecord.ad_session_id.in_(session_ids))
+        ).scalars()
+    } if session_ids else {}
+
     # 用本日之前的累计份数做起点,当日 granted 在其上继续递增 → 与 _granted_cumulative+1 对齐
     granted_n: dict[int, int] = _prior_granted_counts(db, date=date, user_id=user_id)
     rows: list[dict] = []
-    for rec in db.execute(stmt).scalars():
+    for rec in records:
+        impression = impression_by_session.get((rec.user_id, rec.ad_session_id))
         if rec.status == "granted":
             nth = granted_n.get(rec.user_id, 0) + 1
             granted_n[rec.user_id] = nth
@@ -68,6 +80,8 @@ def _reward_video_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "adn": impression.adn if impression is not None else None,
+                "slot_id": impression.slot_id if impression is not None else None,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,
                 "created_at": rec.created_at,
@@ -90,6 +104,8 @@ def _reward_video_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "adn": impression.adn if impression is not None else None,
+                "slot_id": impression.slot_id if impression is not None else None,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,
                 "created_at": rec.created_at,
@@ -149,6 +165,78 @@ def _feed_scene_matches(rec: AdFeedRewardRecord, scene: str | None) -> bool:
     return True
 
 
+def _nonblank(value: str | None) -> str | None:
+    value = value.strip() if value else None
+    return value or None
+
+
+def _unique_ad_source(records: list[AdEcpmRecord]) -> tuple[str | None, str | None]:
+    """仅在候选展示记录指向唯一 ADN 时回填来源，避免错误归因。"""
+    adns = {_nonblank(record.adn) for record in records}
+    adns.discard(None)
+    if len(adns) != 1:
+        return None, None
+
+    slots = {_nonblank(record.slot_id) for record in records}
+    slots.discard(None)
+    return next(iter(adns)), next(iter(slots)) if len(slots) == 1 else None
+
+
+def _feed_source_fallbacks(
+    db: Session, records: list[AdFeedRewardRecord]
+) -> tuple[
+    dict[tuple[int, str], tuple[str | None, str | None]],
+    dict[tuple[int, str, str], tuple[str | None, str | None]],
+]:
+    """为旧信息流发奖记录构建安全来源索引。"""
+    session_ids = {record.ad_session_id for record in records if record.ad_session_id}
+    trace_ids = {record.trace_id for record in records if record.trace_id}
+    if not session_ids and not trace_ids:
+        return {}, {}
+
+    filters = []
+    if session_ids:
+        filters.append(AdEcpmRecord.ad_session_id.in_(session_ids))
+    if trace_ids:
+        filters.append(AdEcpmRecord.trace_id.in_(trace_ids))
+    impressions = list(db.execute(select(AdEcpmRecord).where(or_(*filters))).scalars())
+
+    by_session: dict[tuple[int, str], list[AdEcpmRecord]] = {}
+    by_trace_ecpm: dict[tuple[int, str, str], list[AdEcpmRecord]] = {}
+    for impression in impressions:
+        if impression.ad_session_id:
+            by_session.setdefault((impression.user_id, impression.ad_session_id), []).append(impression)
+        if impression.trace_id:
+            by_trace_ecpm.setdefault(
+                (impression.user_id, impression.trace_id, impression.ecpm_raw), []
+            ).append(impression)
+
+    return (
+        {key: _unique_ad_source(value) for key, value in by_session.items()},
+        {key: _unique_ad_source(value) for key, value in by_trace_ecpm.items()},
+    )
+
+
+def _feed_source(
+    record: AdFeedRewardRecord,
+    *,
+    by_session: dict[tuple[int, str], tuple[str | None, str | None]],
+    by_trace_ecpm: dict[tuple[int, str, str], tuple[str | None, str | None]],
+) -> tuple[str | None, str | None]:
+    """返回本条发奖广告的来源；无唯一证据时保留原始空值。"""
+    adn, slot_id = _nonblank(record.adn), _nonblank(record.slot_id)
+    if adn and slot_id:
+        return adn, slot_id
+
+    candidate = by_session.get((record.user_id, record.ad_session_id or ""))
+    if candidate is None and record.trace_id:
+        candidate = by_trace_ecpm.get((record.user_id, record.trace_id, record.ecpm_raw))
+    if candidate is None:
+        return adn, slot_id
+    candidate_adn, candidate_slot_id = candidate
+    return adn or candidate_adn, slot_id or candidate_slot_id
+
+
 def _feed_rows(
     db: Session, *, date: str, user_id: int | None, scene: str | None = None
 ) -> list[dict]:
@@ -167,11 +255,17 @@ def _feed_rows(
     if user_id is not None:
         stmt = stmt.where(AdFeedRewardRecord.user_id == user_id)
 
+    records = list(db.execute(stmt).scalars())
+    by_session, by_trace_ecpm = _feed_source_fallbacks(db, records)
+
     # 本日之前的累计**条数**做起点,与发奖侧 granted_unit_total(COUNT granted)对齐
     granted_count: dict[int, int] = _feed_prior_granted_count(db, date=date, user_id=user_id)
     rows: list[dict] = []
-    for rec in db.execute(stmt).scalars():
+    for rec in records:
         keep = _feed_scene_matches(rec, scene)  # 累计照常推进,这里只决定是否展示本行
+        adn, slot_id = _feed_source(
+            rec, by_session=by_session, by_trace_ecpm=by_trace_ecpm
+        )
         if rec.status == "granted":
             # 一条广告 = 1 份(与 grant_feed_reward 同口径:看满一份即发该条满额,不按 unit_count 累加)。
             # nth = 账号累计第几**条**(含本日之前),与发奖侧 granted_unit_total+1 对齐;累计照常推进
@@ -188,6 +282,8 @@ def _feed_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "adn": adn,
+                "slot_id": slot_id,
                 "trace_id": rec.trace_id,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,
@@ -214,6 +310,8 @@ def _feed_rows(
                 "record_id": rec.id,
                 "user_id": rec.user_id,
                 "ad_session_id": rec.ad_session_id,
+                "adn": adn,
+                "slot_id": slot_id,
                 "trace_id": rec.trace_id,
                 "app_env": rec.app_env,
                 "our_code_id": rec.our_code_id,

app/admin/repositories/ad_revenue.py

@@ -96,7 +96,11 @@ _REWARD_DETAIL_KEYS = (
 
 def _reward_detail(row: dict) -> dict:
     """从 audit 行抽出发奖复算明细(给前端展开行渲染因子1/因子2/份数/LT/应发实发)。"""
-    return {k: row[k] for k in _REWARD_DETAIL_KEYS}
+    detail = {key: row[key] for key in _REWARD_DETAIL_KEYS}
+    # 聚合父行可能包含多个 ADN，来源必须保留在每一条发奖明细上。
+    detail["adn"] = row.get("adn")
+    detail["slot_id"] = row.get("slot_id")
+    return detail
 
 
 def ad_revenue_report(
@@ -244,8 +248,8 @@ def ad_revenue_report(
                 "impressions": 0,
                 "ecpm": row["ecpm"],
                 "revenue_yuan": 0.0,
-                "adn": None,
-                "slot_id": None,
+                "adn": row.get("adn"),
+                "slot_id": row.get("slot_id"),
                 "has_reward": True,
                 "status": row["status"],
                 "expected_coin": int(row["expected_coin"]),

app/admin/repositories/queries.py

@@ -9,7 +9,7 @@ from datetime import date, datetime, time, timedelta, timezone
 from decimal import ROUND_HALF_UP, Decimal
 from zoneinfo import ZoneInfo
 
-from sqlalchemy import Select, asc, case, desc, func, or_, select
+from sqlalchemy import Select, and_, asc, case, desc, func, or_, select
 from sqlalchemy.orm import Session
 
 from app.core import rewards
@@ -45,6 +45,72 @@ _FEED_SCENE_LABEL = {
 }
 
 
+_DEVICE_MARKETING_NAMES = {
+    "23078RKD5C": "Redmi K60 至尊版",
+    "M2012K11AC": "Redmi K40",
+    "PJA110": "一加 Ace 2 Pro",
+    "PPG-AN00": "荣耀 GT Pro",
+    "V2166BA": "vivo Y77e",
+    "V2309A": "vivo X100",
+}
+
+
+def _device_marketing_name(model: str | None) -> str | None:
+    """把线上已知 Build.MODEL 编码转成用户可识别的商品名。"""
+    if not model:
+        return None
+    return _DEVICE_MARKETING_NAMES.get(model.strip().upper())
+
+
+def _attach_feedback_device_details(db: Session, feedbacks: list[Feedback]) -> None:
+    """按同一用户、同一设备编码及提交时间补齐厂商和 ROM 大版本。"""
+    candidates = [
+        item for item in feedbacks if item.device_model and item.device_model.strip()
+    ]
+    for item in candidates:
+        item.device_model_name = _device_marketing_name(item.device_model)
+        item.device_manufacturer = None
+        item.rom_version = None
+    if not candidates:
+        return
+
+    ranked = (
+        select(
+            Feedback.id.label("feedback_id"),
+            ComparisonRecord.device_manufacturer.label("device_manufacturer"),
+            ComparisonRecord.rom_version.label("rom_version"),
+            func.row_number()
+            .over(
+                partition_by=Feedback.id,
+                order_by=(
+                    ComparisonRecord.created_at.desc(),
+                    ComparisonRecord.id.desc(),
+                ),
+            )
+            .label("row_num"),
+        )
+        .join(
+            ComparisonRecord,
+            and_(
+                ComparisonRecord.user_id == Feedback.user_id,
+                ComparisonRecord.device_model == Feedback.device_model,
+                ComparisonRecord.created_at <= Feedback.created_at,
+            ),
+        )
+        .where(Feedback.id.in_([item.id for item in candidates]))
+        .subquery()
+    )
+    details = {
+        row.feedback_id: row
+        for row in db.execute(select(ranked).where(ranked.c.row_num == 1)).all()
+    }
+
+    for item in candidates:
+        detail = details.get(item.id)
+        item.device_manufacturer = detail.device_manufacturer if detail else None
+        item.rom_version = detail.rom_version if detail else None
+
+
 def cursor_paginate(
     db: Session, stmt: Select, id_col, *, limit: int, cursor: int | None
 ) -> tuple[list, int | None]:
@@ -817,6 +883,7 @@ def list_feedbacks(
         db, stmt, (order_fn(sort_col), id_order), limit=limit, cursor=cursor
     )
     _attach_user_info(db, items)  # 列表展示完整手机号(点手机号查该用户全部反馈)
+    _attach_feedback_device_details(db, items)
     return items, next_cursor, total
 
 
@@ -1228,6 +1295,11 @@ def _cn_wall_to_utc(dt: datetime) -> datetime:
     return dt.replace(tzinfo=rewards.CN_TZ).astimezone(timezone.utc).replace(tzinfo=None)
 
 
+def _coin_record_sort_key(row: dict) -> datetime:
+    """金币明细跨数据源排序键：兼容 SQLite naive 与 PostgreSQL aware 时间。"""
+    return _as_utc(row["created_at"])
+
+
 def user_coin_records(
     db: Session,
     user_id: int,
@@ -1319,7 +1391,10 @@ def user_coin_records(
             "coin": rec.amount,
         })
 
-    rows.sort(key=lambda r: r["created_at"], reverse=True)
+    # SQLite 常返回 naive datetime，PostgreSQL timestamptz 返回 aware datetime；
+    # 统一成 aware UTC 排序，避免线上合并广告记录与签到记录时抛
+    # “can't compare offset-naive and offset-aware datetimes”。
+    rows.sort(key=_coin_record_sort_key, reverse=True)
     has_more = len(rows) > offset + limit
 
     # 总数 = 三源在窗口内 granted 计数之和(供前端页码分页渲染页码/共 N 条)

app/admin/routers/users.py

@@ -86,7 +86,7 @@ def get_user_reward_stats(
     date_to: Annotated[datetime | None, Query()] = None,
 ) -> UserRewardStats:
     """提现详情抽屉「用户统计区」。date_from/date_to 都不传 = 注册至今(全量)。"""
-    if user_repo.get_user_by_id(db, user_id) is None:
+    if not user_repo.user_exists(db, user_id):
         raise HTTPException(status_code=404, detail="用户不存在")
     return UserRewardStats(
         **queries.user_reward_stats(db, user_id, date_from=date_from, date_to=date_to)

app/admin/schemas/ad_revenue.py

@@ -40,6 +40,8 @@ class AdRevenueRecord(BaseModel):
     expected_coin: int = Field(..., description="按公式复算应发金币")
     actual_coin: int = Field(..., description="实际入账金币")
     matched: bool = Field(..., description="复算与实发是否一致")
+    adn: str | None = Field(None, description="本条发奖对应的实际填充 ADN 子渠道")
+    slot_id: str | None = Field(None, description="本条发奖对应的底层 mediation rit")
 
 
 class AdRevenueDaily(BaseModel):

app/admin/schemas/feedback.py

@@ -32,7 +32,10 @@ class FeedbackOut(BaseModel):
     # 提交端环境快照(feedback 表列):提交版本号 / 机型OS版本;改版前的历史反馈为 None
     app_version: str | None = None
     device_model: str | None = None
+    device_model_name: str | None = None
+    device_manufacturer: str | None = None
     rom_name: str | None = None
+    rom_version: int | None = None
     android_version: str | None = None
     # 联表瞬态字段(queries._attach_user_info 挂):列表展示完整手机号,点手机号查该用户全部反馈
     phone: str | None = None

app/api/v1/compare.py

@@ -25,7 +25,7 @@ import uuid
 from typing import Any
 
 import httpx
-from fastapi import APIRouter, HTTPException, Request, status
+from fastapi import APIRouter, BackgroundTasks, HTTPException, Request, status
 from fastapi.concurrency import run_in_threadpool
 
 from app.api.deps import DbSession, OptionalUser
@@ -36,6 +36,7 @@ from app.core.pricebot_router import pick_pricebot
 from app.db.session import SessionLocal
 from app.repositories import comparison as crud_compare
 from app.repositories import risk as risk_repo
+from app.services.comparison_llm_backfill import backfill_comparison_llm_cost
 
 logger = logging.getLogger("shagua.compare")
 
@@ -80,7 +81,7 @@ def _harvest_running_blocking(
 def _harvest_done_blocking(
     trace_id: str, user_id: int | None, done_params: dict, business_type: str,
     device_id: str | None, device_info: dict | None, trace_url: str | None,
-) -> None:
+) -> int:
     with SessionLocal() as db:
         rec, newly_success = crud_compare.harvest_done(
             db, trace_id=trace_id, user_id=user_id, done_params=done_params,
@@ -102,6 +103,7 @@ def _harvest_done_blocking(
         # 不在此处发邀请奖:#113 已把发奖口径从「比价」移到「实际下单」(order.py),harvest
         # 只记录比价、不发奖。否则比价先于下单 + try_reward 幂等闸会让奖落在「比价」这步,
         # 架空 #113 的「下单才发奖」防刷意图(newly_success 仅留作日志观测)。
+        return rec.id
 
 
 def _harvest_abort_blocking(
@@ -243,7 +245,12 @@ async def intent_precoupon_step(
 
 
 @router.post("/price/step", summary="外卖比价 Phase 2 步进 (透传 + done 落库)")
-async def price_step(request: Request, user: OptionalUser, db: DbSession) -> dict[str, Any]:
+async def price_step(
+    request: Request,
+    background_tasks: BackgroundTasks,
+    user: OptionalUser,
+    db: DbSession,
+) -> dict[str, Any]:
     _ensure_compare_allowed(user, db)
     resp, trace_id, meta = await _forward(request, "/api/price/step", user)
     # 最终 done 帧(command=done 且 continue=false)→ harvest 更新成终态。
@@ -252,12 +259,15 @@ async def price_step(request: Request, user: OptionalUser, db: DbSession) -> dic
     if action.get("command") == "done" and not resp.get("continue", True):
         done_params = action.get("params") or {}
         try:
-            await run_in_threadpool(
+            record_id = await run_in_threadpool(
                 _harvest_done_blocking, trace_id, (user.id if user else None),
                 done_params, "food",
                 meta.get("device_id"), meta.get("device_info"),
                 resp.get("trace_url") or done_params.get("trace_url"),
             )
+            background_tasks.add_task(
+                backfill_comparison_llm_cost, record_id, trace_id
+            )
         except Exception as e:  # noqa: BLE001
             logger.warning("harvest_done failed trace=%s: %s", trace_id, e)
     return resp

app/api/v1/compare_record.py

@@ -16,8 +16,6 @@ import logging
 from fastapi import APIRouter, BackgroundTasks, HTTPException, Query, status
 
 from app.api.deps import CurrentUser, DbSession
-from app.db.session import SessionLocal
-from app.models.comparison import ComparisonRecord
 from app.repositories import comparison as crud_compare
 from app.repositories import risk as risk_repo
 from app.schemas.compare_record import (
@@ -30,8 +28,7 @@ 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
+from app.services.comparison_llm_backfill import backfill_comparison_llm_cost
 
 logger = logging.getLogger("shagua.compare_record")
 
@@ -121,32 +118,7 @@ def report_record(
 def _backfill_llm_calls(record_id: int, trace_id: str) -> None:
     """后台回填本次比价的 LLM 调用明细 + 派生 llm_call_count/retry_count。
     独立 DB session(请求 session 此时已关);拉取/写库失败只 log,绝不影响已落库的上报。"""
-    calls = fetch_llm_calls(trace_id)
-    if not calls:
-        return
-    db = SessionLocal()
-    try:
-        rec = db.get(ComparisonRecord, record_id)
-        if rec is None:
-            return
-        rec.llm_calls = calls
-        rec.llm_call_count = len(calls)
-        rec.retry_count = sum(1 for c in calls if c.get("error"))
-        # token 累加(usage 已被 pricebot llm_client 归一为 prompt/completion_tokens;
-        # 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",
-            trace_id, len(calls), rec.input_tokens, rec.output_tokens,
-        )
-    except Exception as e:  # noqa: BLE001 best-effort
-        logger.warning("backfill llm_calls failed trace=%s: %s", trace_id, e)
-    finally:
-        db.close()
+    backfill_comparison_llm_cost(record_id, trace_id)
 
 
 @router.get(

app/core/config.py

@@ -377,6 +377,12 @@ class Settings(BaseSettings):
     # 靠这个共享密钥头(X-Internal-Secret)校验,与 pricebot 侧 INTERNAL_API_SECRET 同值。
     # 默认空 = 内部写端点关闭(返 503),启用前两边都要配上同一高熵串。
     INTERNAL_API_SECRET: str = ""
+    # Current compare clients are persisted by server-side harvest. Repair any
+    # recent terminal rows left without LLM usage by transient upstream/auth failures.
+    LLM_COST_BACKFILL_ENABLED: bool = True
+    LLM_COST_BACKFILL_INTERVAL_SEC: int = 300
+    LLM_COST_BACKFILL_BATCH_SIZE: int = 100
+    LLM_COST_BACKFILL_LOOKBACK_DAYS: int = 30
 
     # ===== 媒体文件(用户头像上传)=====
     # 落盘根目录(data/ 已 gitignore,上传不进库);对外经 StaticFiles 挂在 MEDIA_URL_PREFIX。

app/core/llm_cost_backfill_worker.py

@@ -0,0 +1,63 @@
+"""Periodic repair worker for comparison records with missing LLM token cost."""
+from __future__ import annotations
+
+import asyncio
+import contextlib
+import logging
+
+from app.core.config import settings
+from app.services.comparison_llm_backfill import repair_missing_comparison_llm_costs
+from app.services.pricebot_llm_calls import pricebot_llm_auth_ready
+
+logger = logging.getLogger("shagua.llm_cost_backfill_worker")
+
+
+async def _run_loop() -> None:
+    interval = max(60, int(settings.LLM_COST_BACKFILL_INTERVAL_SEC))
+    logger.info(
+        "LLM cost backfill worker started interval=%ss batch=%s lookback_days=%s",
+        interval,
+        settings.LLM_COST_BACKFILL_BATCH_SIZE,
+        settings.LLM_COST_BACKFILL_LOOKBACK_DAYS,
+    )
+    try:
+        while True:
+            try:
+                auth_ready = await asyncio.to_thread(pricebot_llm_auth_ready)
+                if auth_ready:
+                    result = await asyncio.to_thread(
+                        repair_missing_comparison_llm_costs,
+                        limit=settings.LLM_COST_BACKFILL_BATCH_SIZE,
+                        lookback_days=settings.LLM_COST_BACKFILL_LOOKBACK_DAYS,
+                    )
+                    logger.info("LLM cost backfill batch result=%s", result)
+                else:
+                    logger.error(
+                        "LLM cost backfill skipped: PriceBot internal auth is not ready"
+                    )
+            except Exception:  # noqa: BLE001
+                logger.exception("LLM cost backfill batch failed")
+            await asyncio.sleep(interval)
+    except asyncio.CancelledError:
+        logger.info("LLM cost backfill worker stopped")
+        raise
+
+
+def start_llm_cost_backfill_worker() -> asyncio.Task | None:
+    if not settings.LLM_COST_BACKFILL_ENABLED:
+        logger.info("LLM cost backfill worker disabled")
+        return None
+    if not settings.INTERNAL_API_SECRET:
+        logger.warning(
+            "LLM cost backfill worker not started: INTERNAL_API_SECRET is empty"
+        )
+        return None
+    return asyncio.create_task(_run_loop(), name="llm-cost-backfill")
+
+
+async def stop_llm_cost_backfill_worker(task: asyncio.Task | None) -> None:
+    if task is None:
+        return
+    task.cancel()
+    with contextlib.suppress(asyncio.CancelledError):
+        await task

app/main.py

@@ -60,6 +60,10 @@ from app.core.inactivity_reset_worker import (
     start_inactivity_reset_worker,
     stop_inactivity_reset_worker,
 )
+from app.core.llm_cost_backfill_worker import (
+    start_llm_cost_backfill_worker,
+    stop_llm_cost_backfill_worker,
+)
 from app.core.logging import setup_logging
 from app.core.observe import RequestMetricsMiddleware
 from app.core.observe_worker import (
@@ -103,6 +107,7 @@ async def lifespan(_: FastAPI) -> AsyncIterator[None]:
     daily_exchange_task = start_daily_exchange_worker()
     observe_task = start_observe_worker()
     inactivity_task = start_inactivity_reset_worker()
+    llm_cost_backfill_task = start_llm_cost_backfill_worker()
     try:
         yield
     finally:
@@ -112,6 +117,7 @@ async def lifespan(_: FastAPI) -> AsyncIterator[None]:
         await stop_daily_exchange_worker(daily_exchange_task)
         await stop_observe_worker(observe_task)
         await stop_inactivity_reset_worker(inactivity_task)
+        await stop_llm_cost_backfill_worker(llm_cost_backfill_task)
         await aclose_pricebot_client()
         mt_meituan.close_client()
         logger.info("shutting down")

app/repositories/comparison.py

@@ -55,13 +55,22 @@ def _product_names_from_items(items: list | None) -> str | None:
 def _derive(payload: ComparisonRecordIn) -> dict:
     """从上报 payload 派生结构化列(best/saved/is_source_best/status)。"""
     results = payload.comparison_results
+    _pr = payload.platform_results or {}
 
-    # 最优 = rank 最小的一条;协议已升序,但不信顺序,显式按 rank/price 兜底取最小价。
-    best = None
+    def _is_short(r) -> bool:
+        # 缺菜(漏菜)店: 少买了菜总价虚低, 不参与最优评选。逐平台 skipped 在 platform_results, 行里没有。
+        # platform_results 内层结构宽松(pricebot/老客户端透传, 可伪造), 值非 dict 时按"不缺菜"处理, 不崩。
+        info = _pr.get(r.platform_id) if r.platform_id else None
+        return isinstance(info, dict) and (info.get("skipped_dish_count") or 0) > 0
+
+    # 最优 = 非缺菜里 rank 最小(=最便宜)的一条;协议已升序,但不信顺序,显式按 rank/price 取。
+    # 源平台永远全菜, 故全目标缺菜时回落到源(is_source_best、saved=0), 不把虚低价当最低。
     priced = [r for r in results if r.price is not None]
-    if priced:
+    clean = [r for r in priced if not _is_short(r)]
+    best = None
+    if clean:
         best = min(
-            priced,
+            clean,
             key=lambda r: (r.rank if r.rank is not None else 10**9, r.price),
         )
 
@@ -196,14 +205,29 @@ def upsert_record(
 # ============================================================
 
 
-def _derive_from_results(results: list[dict]) -> dict:
+def _derive_from_results(
+    results: list[dict], platform_results: dict | None = None
+) -> dict:
     """从 done 帧 comparison_results(pricebot 原始 dict 列表)派生结构化列。
-    等价 _derive,但吃原始字段(is_source/price/rank/platform_id/store_name...)而非 pydantic 对象。"""
+    等价 _derive,但吃原始字段(is_source/price/rank/platform_id/store_name...)而非 pydantic 对象。
+
+    platform_results(done.params.platform_results): 逐平台 skipped_dish_count 在这里(行里没有)。
+    传入则派生 best 时排除缺菜(漏菜)店 —— 少买了菜总价虚低, 不能当记录级"最低价"/算虚假省额;
+    源平台永远全菜, 故全目标缺菜时 best 回落到源(is_source_best、不虚报省)。不传→纯 rank/price, 行为不变。"""
+    _pr = platform_results or {}
+
+    def _is_short(r: dict) -> bool:
+        # platform_results 内层结构宽松(pricebot/客户端透传), 值非 dict 时按"不缺菜"处理, 不崩。
+        pid = r.get("platform_id")
+        info = _pr.get(pid) if pid else None
+        return isinstance(info, dict) and (info.get("skipped_dish_count") or 0) > 0
+
     priced = [r for r in results if r.get("price") is not None]
+    clean = [r for r in priced if not _is_short(r)]  # 缺菜店排除出最优评选
     best = None
-    if priced:
+    if clean:
         best = min(
-            priced,
+            clean,
             key=lambda r: (r.get("rank") if r.get("rank") is not None else 10**9, r["price"]),
         )
     src_row = next((r for r in results if r.get("is_source")), None)
@@ -389,7 +413,7 @@ def harvest_done(
     返回 (记录, 是否本次**新**落成 success)——供调用方据此幂等发一次邀请奖。
     行不存在(理论上帧0已建;防御)则新建。"""
     results = done_params.get("comparison_results") or []
-    derived = _derive_from_results(results)
+    derived = _derive_from_results(results, done_params.get("platform_results"))
     # 菜品:pricebot 已把源单菜品塞进 comparison_results[源行].items
     items = next((r.get("items") or [] for r in results if r.get("is_source")), [])
     fields = dict(

app/repositories/user.py

@@ -93,6 +93,11 @@ def get_user_by_id(db: Session, user_id: int) -> User | None:
     return db.get(User, user_id)
 
 
+def user_exists(db: Session, user_id: int) -> bool:
+    """只查主键判断用户是否存在，避免只读统计接口依赖完整用户表结构。"""
+    return db.scalar(select(User.id).where(User.id == user_id)) is not None
+
+
 def get_user_by_phone(db: Session, phone: str) -> User | None:
     stmt = select(User).where(User.phone == phone)
     return db.execute(stmt).scalar_one_or_none()

app/services/comparison_llm_backfill.py

@@ -0,0 +1,156 @@
+"""Persist and repair comparison-record LLM token costs."""
+from __future__ import annotations
+
+import logging
+import time
+from datetime import UTC, datetime, timedelta
+
+from sqlalchemy import select
+
+from app.core.config import settings
+from app.core.rewards import CN_TZ
+from app.db.session import SessionLocal
+from app.models.app_config import AppConfig
+from app.models.comparison import ComparisonRecord
+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.comparison_llm_backfill")
+
+
+def _utc_to_beijing_naive(value: datetime) -> datetime:
+    """Convert a DB UTC timestamp to comparison_record's Beijing wall-clock."""
+    if value.tzinfo is None:
+        value = value.replace(tzinfo=UTC)
+    return value.astimezone(CN_TZ).replace(tzinfo=None)
+
+
+def _store_calls(record_id: int, trace_id: str, calls: list[dict]) -> bool:
+    """Store calls and all derived fields atomically."""
+    with SessionLocal() as db:
+        rec = db.get(ComparisonRecord, record_id)
+        if rec is None or rec.trace_id != trace_id:
+            logger.warning(
+                "LLM cost backfill record mismatch record_id=%s trace=%s",
+                record_id,
+                trace_id,
+            )
+            return False
+
+        # Never recalculate a frozen historical cost with a newer price config.
+        if rec.llm_cost_yuan is not None and rec.llm_calls:
+            return False
+
+        rec.llm_calls = calls
+        rec.llm_call_count = len(calls)
+        rec.retry_count = sum(1 for call in calls if call.get("error"))
+        rec.input_tokens = sum(
+            (call.get("usage") or {}).get("prompt_tokens") or 0 for call in calls
+        )
+        rec.output_tokens = sum(
+            (call.get("usage") or {}).get("completion_tokens") or 0 for call in calls
+        )
+        rec.llm_cost_yuan, rec.llm_price_snapshot = compute_llm_cost(
+            calls, get_llm_prices(db)
+        )
+        db.commit()
+        logger.info(
+            "LLM cost backfilled trace=%s calls=%d input_tokens=%d "
+            "output_tokens=%d cost=%s",
+            trace_id,
+            len(calls),
+            rec.input_tokens,
+            rec.output_tokens,
+            rec.llm_cost_yuan,
+        )
+        return True
+
+
+def backfill_comparison_llm_cost(
+    record_id: int,
+    trace_id: str,
+    *,
+    attempts: int = 3,
+    retry_delays: tuple[float, ...] = (1.0, 3.0),
+) -> bool:
+    """Fetch and persist one record, retrying short-lived upstream races."""
+    if not settings.INTERNAL_API_SECRET or not trace_id:
+        logger.warning(
+            "LLM cost backfill skipped trace=%s: INTERNAL_API_SECRET is not configured",
+            trace_id,
+        )
+        return False
+    total_attempts = max(1, attempts)
+    for attempt in range(total_attempts):
+        calls = fetch_llm_calls(trace_id)
+        if calls:
+            try:
+                return _store_calls(record_id, trace_id, calls)
+            except Exception:  # noqa: BLE001 - background repair must stay alive
+                logger.exception(
+                    "LLM cost store failed trace=%s record_id=%s",
+                    trace_id,
+                    record_id,
+                )
+                return False
+
+        if attempt + 1 < total_attempts:
+            delay = retry_delays[min(attempt, len(retry_delays) - 1)] if retry_delays else 0
+            if delay > 0:
+                time.sleep(delay)
+
+    logger.warning(
+        "LLM cost backfill has no calls trace=%s record_id=%s attempts=%d",
+        trace_id,
+        record_id,
+        total_attempts,
+    )
+    return False
+
+
+def repair_missing_comparison_llm_costs(
+    *,
+    limit: int = 100,
+    lookback_days: int = 30,
+) -> dict[str, int]:
+    """Repair a bounded batch of recent terminal records with missing cost."""
+    cutoff = datetime.now(CN_TZ).replace(tzinfo=None) - timedelta(
+        days=max(1, lookback_days)
+    )
+    with SessionLocal() as db:
+        # app_config has no price history. Repricing a record from before the
+        # current config became effective would fabricate a historical cost, so
+        # only repair records at/after that timestamp.
+        price_config_updated_at = db.execute(
+            select(AppConfig.updated_at).where(AppConfig.key == "llm_token_price")
+        ).scalar_one_or_none()
+        date_conditions = [ComparisonRecord.created_at >= cutoff]
+        if price_config_updated_at is not None:
+            date_conditions.append(
+                ComparisonRecord.created_at
+                >= _utc_to_beijing_naive(price_config_updated_at)
+            )
+        candidates = list(
+            db.execute(
+                select(ComparisonRecord.id, ComparisonRecord.trace_id)
+                .where(
+                    *date_conditions,
+                    ComparisonRecord.status.in_(("success", "failed")),
+                    ComparisonRecord.llm_cost_yuan.is_(None),
+                )
+                .order_by(ComparisonRecord.created_at.desc(), ComparisonRecord.id.desc())
+                .limit(max(1, limit))
+            ).all()
+        )
+
+    repaired = 0
+    for record_id, trace_id in candidates:
+        if backfill_comparison_llm_cost(
+            record_id, trace_id, attempts=1, retry_delays=()
+        ):
+            repaired += 1
+    return {
+        "candidates": len(candidates),
+        "repaired": repaired,
+        "unresolved": len(candidates) - repaired,
+    }

app/services/pricebot_llm_calls.py

@@ -20,19 +20,67 @@ from app.core.pricebot_router import pick_pricebot
 logger = logging.getLogger("shagua.pricebot_llm")
 
 
+def pricebot_llm_auth_ready() -> bool:
+    """Verify every configured PriceBot instance accepts the shared secret."""
+    secret = settings.INTERNAL_API_SECRET
+    if not secret:
+        logger.error("PriceBot LLM auth check failed: INTERNAL_API_SECRET is empty")
+        return False
+    for base in settings.pricebot_instances:
+        url = f"{base.rstrip('/')}/api/internal/llm_calls/__auth_probe__"
+        try:
+            resp = httpx.get(
+                url, headers={"X-Internal-Secret": secret}, timeout=3.0
+            )
+        except Exception as exc:  # noqa: BLE001
+            logger.error("PriceBot LLM auth check unavailable base=%s: %s", base, exc)
+            return False
+        if resp.status_code != 200:
+            logger.error(
+                "PriceBot LLM auth check rejected base=%s status=%s; "
+                "verify both services use the same INTERNAL_API_SECRET",
+                base,
+                resp.status_code,
+            )
+            return False
+    return True
+
+
 def fetch_llm_calls(trace_id: str) -> list[dict]:
     """返回该次比价的 LLM 调用明细列表(每条 {scene,model,input_messages,output,usage,latency_ms,error});
     未配密钥 / 无 trace_id / 拉取失败 → []。"""
     secret = settings.INTERNAL_API_SECRET
     if not secret or not trace_id:
         return []
-    base = pick_pricebot(trace_id).rstrip("/")
-    url = f"{base}/api/internal/llm_calls/{trace_id}"
-    try:
-        resp = httpx.get(url, headers={"X-Internal-Secret": secret}, timeout=5.0)
-        if resp.status_code == 200:
-            return resp.json().get("calls", []) or []
-        logger.warning("fetch_llm_calls trace=%s status=%s", trace_id, resp.status_code)
-    except Exception as e:  # noqa: BLE001 — best-effort,任何异常都不该影响上报
-        logger.warning("fetch_llm_calls trace=%s failed: %s", trace_id, e)
+    preferred = pick_pricebot(trace_id)
+    # LLM JSONL is instance-local. If the cluster topology changed after a
+    # historical trace was created, consistent hashing may now point elsewhere;
+    # probe the remaining configured instances only when the preferred one is empty.
+    bases = [preferred, *(base for base in settings.pricebot_instances if base != preferred)]
+    for base in bases:
+        url = f"{base.rstrip('/')}/api/internal/llm_calls/{trace_id}"
+        try:
+            resp = httpx.get(url, headers={"X-Internal-Secret": secret}, timeout=5.0)
+            if resp.status_code == 200:
+                calls = resp.json().get("calls", []) or []
+                if calls:
+                    return calls
+                continue
+            if resp.status_code in (401, 403):
+                logger.error(
+                    "fetch_llm_calls rejected trace=%s base=%s status=%s; "
+                    "INTERNAL_API_SECRET differs between app-server and PriceBot",
+                    trace_id,
+                    base,
+                    resp.status_code,
+                )
+            else:
+                logger.warning(
+                    "fetch_llm_calls trace=%s base=%s status=%s",
+                    trace_id,
+                    base,
+                    resp.status_code,
+                )
+        except Exception as e:  # noqa: BLE001 — best-effort
+            logger.warning("fetch_llm_calls trace=%s base=%s failed: %s", trace_id, base, e)
     return []

deploy/comparison-llm-cost.md

@@ -0,0 +1,40 @@
+# 比价 TOKEN 成本采集与补偿
+
+## 部署前置
+
+App Server 与 PriceBot 使用各自独立的 `.env`，但下面的值必须完全一致：
+
+- `/opt/shaguabijia-app-server/.env`
+- `/opt/pricebot-backend/.env`
+- 配置项：`INTERNAL_API_SECRET`
+
+不要把密钥原文写入日志、命令历史或 Git。修改后同时重启两个服务。
+
+App Server 启动后会逐个探测 `PRICEBOT_INSTANCES` 的内部读取接口。鉴权不一致时会记录
+`PriceBot LLM auth check rejected`，并跳过本轮补偿，避免对所有缺失记录重复发送失败请求。
+
+## 数据链路
+
+1. 当前客户端由 App Server 在 PriceBot 最终 `done` 帧到达时 harvest 比价记录。
+2. harvest 成功后立即异步读取同一 `trace_id` 的 LLM 调用，冻结 Token、成本和单价快照。
+3. 周期 worker 扫描近期 `success/failed` 且 `llm_cost_yuan IS NULL` 的记录进行补偿；
+   为避免用现价伪造历史成本，只处理当前单价配置生效时间之后的记录。
+4. 管理后台顶部“平均 TOKEN 成本”使用筛选范围内已冻结成本的数据库平均值。
+
+## 上线验收（只读 SQL）
+
+```sql
+SELECT
+  (created_at AT TIME ZONE 'Asia/Shanghai')::date AS day,
+  count(*) AS records,
+  count(llm_cost_yuan) AS cost_records,
+  round(avg(llm_cost_yuan)::numeric, 6) AS avg_token_cost
+FROM comparison_record
+WHERE created_at >= now() - interval '3 days'
+GROUP BY 1
+ORDER BY 1 DESC;
+```
+
+新产生的正常终态比价记录应在短时间内写入 `input_tokens`、`output_tokens` 和
+`llm_cost_yuan`。历史记录只有在 PriceBot 的对应 trace JSONL 仍保留时才能准确回填；
+原始调用已经清理的记录不能用估算值冒充真实成本。

scripts/seed_mock_feedback.py

@@ -175,22 +175,22 @@ def seed(db) -> list[Feedback]:
         # 普通反馈 · 新端(带环境快照)· 无图
         fb("13255550001", "签到金币到账有时候会延迟一两分钟,能不能做成实时到账?",
            source="profile",
-           app_version="2.3.1", device_model="PJA110", rom_name="ColorOS", android_version="14",
+           app_version="2.3.1", device_model="PJA110", rom_name="ColorOS 14", android_version="14",
            created=ago(minutes=6)),
         # 比价反馈 · scene=优惠不对 · 新端 · 2 图
         fb("13255550002", "这家店京东外卖的到手价比你们算出来的最低价还低,截图为证,麻烦核实。",
            source="comparison", scene="优惠不对", images=[imgs[0], imgs[1]],
-           app_version="2.3.1", device_model="M2012K11AC", rom_name="MIUI", android_version="13",
+           app_version="2.3.1", device_model="M2012K11AC", rom_name="MIUI 14", android_version="13",
            created=ago(minutes=22)),
         # 比价反馈 · scene=找错商品 · 新端 · 无图
         fb("13255550002", "比价结果里的商品跟我搜的不是同一个规格,数量对不上。",
            source="comparison", scene="找错商品",
-           app_version="2.3.0", device_model="V2309A", rom_name="OriginOS", android_version="14",
+           app_version="2.3.0", device_model="V2309A", rom_name="OriginOS 4", android_version="14",
            created=ago(hours=1)),
         # 普通反馈 · 新端 · 1 图(表扬 + 小问题)
         fb("13255550003", "提现秒到账,好评!顺手反馈个小 bug:金币记录页偶尔白屏,要退出去重进。",
            source="profile", images=[imgs[2]],
-           app_version="2.3.1", device_model="23078RKD5C", rom_name="MIUI", android_version="14",
+           app_version="2.3.1", device_model="23078RKD5C", rom_name="MIUI 14", android_version="14",
            created=ago(hours=3)),
         # 比价反馈 · scene=比价太慢 · 历史数据(env 全 NULL、contact 有值)
         fb("13255550004", "比价转圈太久了,经常要等十几秒才出结果,体验不太好。",
@@ -206,7 +206,7 @@ def seed(db) -> list[Feedback]:
            source="profile", images=[imgs[3]],
            status="adopted", reward_coins=2000,
            review_note="有效产品建议,已排期到 2.4.0", admin_reply="感谢反馈!该功能已在规划中,金币奖励已发放~",
-           app_version="2.2.8", device_model="PJA110", rom_name="ColorOS", android_version="13",
+           app_version="2.2.8", device_model="PJA110", rom_name="ColorOS 13", android_version="13",
            created=ago(days=2)),
 
         # ===== 未采纳 rejected(带原因 + 回复)=====
@@ -214,7 +214,7 @@ def seed(db) -> list[Feedback]:
            source="comparison", scene="价格不准",
            status="rejected", reject_reason="截图价格为限时活动价且已过期,不满足「长期可复现更低价」条件,暂不采纳。",
            admin_reply="感谢参与,本次未通过,欢迎继续上报有效更低价~",
-           app_version="2.3.0", device_model="M2012K11AC", rom_name="MIUI", android_version="13",
+           app_version="2.3.0", device_model="M2012K11AC", rom_name="MIUI 14", android_version="13",
            created=ago(days=3)),
     ]
     db.add_all(feedbacks)

tests/test_admin_ad_revenue_scope.py

@@ -8,6 +8,7 @@ from sqlalchemy import delete
 from app.admin.repositories import ad_revenue
 from app.db.session import SessionLocal
 from app.models.ad_ecpm import AdEcpmRecord
+from app.models.ad_feed_reward import AdFeedRewardRecord
 from app.models.ad_pangle_revenue import AdPangleDailyRevenue
 from app.models.ad_reward import AdRewardRecord
 from app.models.user import User
@@ -208,3 +209,112 @@ def test_reward_video_incomplete_playback_has_zero_revenue() -> None:
         db.execute(delete(User).where(User.phone == phone))
         db.commit()
         db.close()
+
+
+def test_feed_reward_details_keep_each_record_adn() -> None:
+    db = SessionLocal()
+    phone = "18800009994"
+    detail_date = "2040-02-06"
+    try:
+        user = User(phone=phone, username="29999999994", register_channel="sms")
+        db.add(user)
+        db.flush()
+        db.add_all([
+            AdFeedRewardRecord(
+                client_event_id="detail-adn-pangle", user_id=user.id,
+                reward_date=detail_date, duration_seconds=20, unit_count=1,
+                ecpm_raw="12000", adn="pangle", slot_id="rit-pangle",
+                ad_type="draw", feed_scene="coupon", trace_id="detail-adn-trace",
+                app_env="prod", our_code_id="104098712", coin=12, status="granted",
+                created_at=datetime(2040, 2, 6, 1, tzinfo=UTC),
+            ),
+            AdFeedRewardRecord(
+                client_event_id="detail-adn-gdt", user_id=user.id,
+                reward_date=detail_date, duration_seconds=20, unit_count=1,
+                ecpm_raw="25000", adn="gdt", slot_id="rit-gdt",
+                ad_type="draw", feed_scene="coupon", trace_id="detail-adn-trace",
+                app_env="prod", our_code_id="104098712", coin=25, status="granted",
+                created_at=datetime(2040, 2, 6, 2, tzinfo=UTC),
+            ),
+        ])
+        db.commit()
+
+        result = ad_revenue.ad_revenue_report(
+            db, date_from=detail_date, date_to=detail_date,
+            user_id=user.id, app_env="prod", revenue_scope="all",
+        )
+
+        item = next(row for row in result["items"] if row["event_key"].startswith("feedgrp-"))
+        assert [detail["adn"] for detail in item["sub_rewards"]] == ["pangle", "gdt"]
+        assert [detail["slot_id"] for detail in item["sub_rewards"]] == ["rit-pangle", "rit-gdt"]
+    finally:
+        db.rollback()
+        db.execute(delete(AdFeedRewardRecord).where(AdFeedRewardRecord.reward_date == detail_date))
+        db.execute(delete(User).where(User.phone == phone))
+        db.commit()
+        db.close()
+
+
+def test_feed_reward_source_fallback_requires_unique_trace_and_ecpm() -> None:
+    db = SessionLocal()
+    phone = "18800009995"
+    fallback_date = "2040-02-07"
+    try:
+        user = User(phone=phone, username="29999999995", register_channel="sms")
+        db.add(user)
+        db.flush()
+        db.add_all([
+            AdFeedRewardRecord(
+                client_event_id="source-fallback-unique", user_id=user.id,
+                reward_date=fallback_date, duration_seconds=3, unit_count=0,
+                ecpm_raw="4700", ad_session_id="flow-session", trace_id="source-trace",
+                app_env="prod", our_code_id="104098712", coin=0, status="too_short",
+                ad_type="draw", feed_scene="comparison",
+                created_at=datetime(2040, 2, 7, 1, tzinfo=UTC),
+            ),
+            AdFeedRewardRecord(
+                client_event_id="source-fallback-ambiguous", user_id=user.id,
+                reward_date=fallback_date, duration_seconds=3, unit_count=0,
+                ecpm_raw="4800", ad_session_id="flow-session", trace_id="source-trace",
+                app_env="prod", our_code_id="104098712", coin=0, status="too_short",
+                ad_type="draw", feed_scene="comparison",
+                created_at=datetime(2040, 2, 7, 2, tzinfo=UTC),
+            ),
+            AdEcpmRecord(
+                user_id=user.id, ad_type="draw", ad_session_id="impression-unique",
+                trace_id="source-trace", ecpm_raw="4700", adn="baidu", slot_id="rit-baidu",
+                app_env="prod", our_code_id="104098712", report_date=fallback_date,
+                created_at=datetime(2040, 2, 7, 1, tzinfo=UTC),
+            ),
+            AdEcpmRecord(
+                user_id=user.id, ad_type="draw", ad_session_id="impression-ambiguous-a",
+                trace_id="source-trace", ecpm_raw="4800", adn="baidu", slot_id="rit-baidu",
+                app_env="prod", our_code_id="104098712", report_date=fallback_date,
+                created_at=datetime(2040, 2, 7, 2, tzinfo=UTC),
+            ),
+            AdEcpmRecord(
+                user_id=user.id, ad_type="draw", ad_session_id="impression-ambiguous-b",
+                trace_id="source-trace", ecpm_raw="4800", adn="ks", slot_id="rit-ks",
+                app_env="prod", our_code_id="104098712", report_date=fallback_date,
+                created_at=datetime(2040, 2, 7, 2, 1, tzinfo=UTC),
+            ),
+        ])
+        db.commit()
+
+        result = ad_revenue.ad_revenue_report(
+            db, date_from=fallback_date, date_to=fallback_date,
+            user_id=user.id, app_env="prod", revenue_scope="all",
+        )
+        item = next(row for row in result["items"] if row["event_key"].startswith("feedgrp-"))
+        details = {detail["ecpm"]: detail for detail in item["sub_rewards"]}
+        assert details["4700"]["adn"] == "baidu"
+        assert details["4700"]["slot_id"] == "rit-baidu"
+        assert details["4800"]["adn"] is None
+        assert details["4800"]["slot_id"] is None
+    finally:
+        db.rollback()
+        db.execute(delete(AdFeedRewardRecord).where(AdFeedRewardRecord.reward_date == fallback_date))
+        db.execute(delete(AdEcpmRecord).where(AdEcpmRecord.report_date == fallback_date))
+        db.execute(delete(User).where(User.phone == phone))
+        db.commit()
+        db.close()

tests/test_admin_feedback_device_details.py

@@ -0,0 +1,71 @@
+from datetime import datetime, timedelta, timezone
+
+from app.admin.repositories import queries
+from app.db.session import SessionLocal
+from app.models.comparison import ComparisonRecord
+from app.models.feedback import Feedback
+from app.repositories import user as user_repo
+
+
+def test_feedback_device_details_use_same_user_and_model() -> None:
+    with SessionLocal() as db:
+        submitted_at = datetime.now(timezone.utc)
+        user = user_repo.upsert_user_for_login(
+            db,
+            phone="13800009876",
+            register_channel="sms",
+        )
+        db.add_all(
+            [
+                ComparisonRecord(
+                    user_id=user.id,
+                    trace_id="feedback-device-v2166ba",
+                    device_model="V2166BA",
+                    device_manufacturer="vivo",
+                    rom_name="OriginOS",
+                    rom_version=13,
+                    created_at=submitted_at - timedelta(minutes=5),
+                ),
+                ComparisonRecord(
+                    user_id=user.id,
+                    trace_id="feedback-device-other",
+                    device_model="OTHER-CODE",
+                    device_manufacturer="Other",
+                    rom_name="OtherOS",
+                    rom_version=99,
+                    created_at=submitted_at - timedelta(minutes=5),
+                ),
+                ComparisonRecord(
+                    user_id=user.id,
+                    trace_id="feedback-device-future-upgrade",
+                    device_model="V2166BA",
+                    device_manufacturer="vivo-new",
+                    rom_name="OriginOS",
+                    rom_version=99,
+                    created_at=submitted_at + timedelta(minutes=5),
+                ),
+                Feedback(
+                    user_id=user.id,
+                    content="设备信息补全测试",
+                    contact="",
+                    status="pending",
+                    device_model="V2166BA",
+                    rom_name="OriginOS",
+                    android_version="13",
+                    created_at=submitted_at,
+                ),
+            ]
+        )
+        db.commit()
+
+        items, _next_cursor, total = queries.list_feedbacks(
+            db,
+            user_id=user.id,
+            limit=20,
+        )
+
+        assert total == 1
+        assert items[0].device_model == "V2166BA"
+        assert items[0].device_model_name == "vivo Y77e"
+        assert items[0].device_manufacturer == "vivo"
+        assert items[0].rom_version == 13

tests/test_admin_read.py

@@ -1,7 +1,7 @@
 """Admin M2 读接口测试:大盘聚合 + 用户/流水/提现/反馈列表 + 鉴权拦截。"""
 from __future__ import annotations
 
-from datetime import datetime
+from datetime import UTC, datetime
 
 import pytest
 from fastapi.testclient import TestClient
@@ -9,6 +9,7 @@ from sqlalchemy import event
 
 from app.admin.main import admin_app
 from app.admin.repositories import admin_user as admin_repo
+from app.admin.repositories import queries
 from app.db.session import SessionLocal, engine
 from app.models.comparison import ComparisonRecord
 from app.models.feedback import Feedback
@@ -144,6 +145,8 @@ def test_user_reward_detail_does_not_select_unrelated_new_ad_columns(
     ) -> None:
         if "ad_reward_record.boost_round_id" in statement:
             raise AssertionError("提现详情不应查询未使用的 boost_round_id")
+        if "FROM user" in statement and "user.phone" in statement:
+            raise AssertionError("奖励统计的用户存在性检查不应展开完整 user 表")
 
     event.listen(engine, "before_cursor_execute", reject_full_ad_reward_projection)
     try:
@@ -162,6 +165,17 @@ def test_user_reward_detail_does_not_select_unrelated_new_ad_columns(
     assert records.status_code == 200, records.text
 
 
+def test_user_coin_record_sort_accepts_mixed_timezone_datetimes() -> None:
+    """线上 PostgreSQL 返回 aware，SQLite/历史转换可能返回 naive，二者必须可混排。"""
+    naive = datetime(2038, 1, 1, 8, 0)
+    aware = datetime(2038, 1, 1, 7, 0, tzinfo=UTC)
+
+    rows = [{"created_at": aware}, {"created_at": naive}]
+    rows.sort(key=queries._coin_record_sort_key, reverse=True)
+
+    assert rows == [{"created_at": naive}, {"created_at": aware}]
+
+
 def test_user_filter_by_status(admin_client: TestClient, admin_token: str) -> None:
     _seed_user_with_data("13800000003")
     r = admin_client.get("/admin/api/users", params={"status": "active"}, headers=_auth(admin_token))

tests/test_compare_harvest.py

@@ -9,17 +9,16 @@ pricebot 用 httpx mock,不真连(同 test_compare_proxy)。
 """
 from __future__ import annotations
 
-import json
 import uuid
 from unittest.mock import MagicMock, patch
 
 import httpx
+from sqlalchemy import select
 
 from app.db.session import SessionLocal
 from app.models.comparison import ComparisonRecord
 from app.repositories import comparison as crud
 from app.schemas.compare_record import ComparisonRecordIn
-from sqlalchemy import select
 
 
 def _tid() -> str:
@@ -216,7 +215,9 @@ def test_price_step_done_harvests_success(client) -> None:
                   "action": {"command": "done", "params": _done_params()},
                   "trace_url": "https://price.shaguabijia.com/traces/done2/"}
     p, _cap = _mock_pricebot(done_frame)
-    with p:
+    with p, patch(
+        "app.api.v1.compare.backfill_comparison_llm_cost"
+    ) as backfill:
         r = client.post("/api/v1/price/step", json=_stub_body(trace_id=tid, step=8))
     assert r.status_code == 200
     with SessionLocal() as db:
@@ -224,6 +225,7 @@ def test_price_step_done_harvests_success(client) -> None:
         assert rec is not None and rec.status == "success"
         assert rec.best_platform_id == "meituan"
         assert rec.saved_amount_cents == 500
+        backfill.assert_called_once_with(rec.id, tid)
 
 
 def test_trace_finalize_harvests_abort(client) -> None:

tests/test_comparison_llm_backfill.py

@@ -0,0 +1,161 @@
+from __future__ import annotations
+
+from datetime import UTC, datetime, timedelta
+
+from app.core.rewards import CN_TZ
+from app.db.session import SessionLocal
+from app.models.app_config import AppConfig
+from app.models.comparison import ComparisonRecord
+from app.services import comparison_llm_backfill
+
+
+def _record(
+    trace_id: str,
+    *,
+    status: str = "success",
+    created_at: datetime | None = None,
+) -> int:
+    with SessionLocal() as db:
+        rec = ComparisonRecord(
+            trace_id=trace_id,
+            status=status,
+            created_at=created_at or datetime.now(),
+        )
+        db.add(rec)
+        db.commit()
+        return rec.id
+
+
+def _delete(record_id: int) -> None:
+    with SessionLocal() as db:
+        rec = db.get(ComparisonRecord, record_id)
+        if rec is not None:
+            db.delete(rec)
+            db.commit()
+
+
+def test_backfill_retries_then_persists_cost(monkeypatch):
+    record_id = _record("llm-retry-1")
+    calls = [
+        {
+            "model": "unknown-model",
+            "error": None,
+            "usage": {"prompt_tokens": 1000, "completion_tokens": 500},
+        }
+    ]
+    responses = iter([[], calls])
+    monkeypatch.setattr(
+        comparison_llm_backfill,
+        "fetch_llm_calls",
+        lambda trace_id: next(responses),
+    )
+    sleeps: list[float] = []
+    monkeypatch.setattr(comparison_llm_backfill.time, "sleep", sleeps.append)
+    monkeypatch.setattr(
+        comparison_llm_backfill.settings, "INTERNAL_API_SECRET", "test-secret"
+    )
+
+    try:
+        assert comparison_llm_backfill.backfill_comparison_llm_cost(
+            record_id, "llm-retry-1", attempts=2, retry_delays=(0.25,)
+        )
+        assert sleeps == [0.25]
+        with SessionLocal() as db:
+            rec = db.get(ComparisonRecord, record_id)
+            assert rec.input_tokens == 1000
+            assert rec.output_tokens == 500
+            assert rec.llm_cost_yuan is not None
+            assert rec.llm_calls == calls
+    finally:
+        _delete(record_id)
+
+
+def test_repair_batch_only_targets_terminal_missing_rows(monkeypatch):
+    missing_id = _record("llm-repair-missing")
+    running_id = _record("llm-repair-running", status="running")
+    calls = [
+        {
+            "model": "unknown-model",
+            "error": None,
+            "usage": {"prompt_tokens": 100, "completion_tokens": 20},
+        }
+    ]
+    seen: list[str] = []
+
+    def fetch(trace_id: str) -> list[dict]:
+        seen.append(trace_id)
+        return calls
+
+    monkeypatch.setattr(comparison_llm_backfill, "fetch_llm_calls", fetch)
+    monkeypatch.setattr(
+        comparison_llm_backfill.settings, "INTERNAL_API_SECRET", "test-secret"
+    )
+    try:
+        result = comparison_llm_backfill.repair_missing_comparison_llm_costs(
+            limit=10, lookback_days=1
+        )
+        assert result["repaired"] >= 1
+        assert "llm-repair-missing" in seen
+        assert "llm-repair-running" not in seen
+        with SessionLocal() as db:
+            assert db.get(ComparisonRecord, missing_id).llm_cost_yuan is not None
+            assert db.get(ComparisonRecord, running_id).llm_cost_yuan is None
+    finally:
+        _delete(missing_id)
+        _delete(running_id)
+
+
+def test_repair_excludes_records_before_current_price_config(monkeypatch):
+    price_changed_at = datetime.now(UTC) - timedelta(hours=1)
+    before_change = (price_changed_at - timedelta(minutes=30)).astimezone(CN_TZ)
+    after_change = (price_changed_at + timedelta(minutes=30)).astimezone(CN_TZ)
+    before_id = _record(
+        "llm-before-price-change",
+        created_at=before_change.replace(tzinfo=None),
+    )
+    after_id = _record(
+        "llm-after-price-change",
+        created_at=after_change.replace(tzinfo=None),
+    )
+    with SessionLocal() as db:
+        existing = db.get(AppConfig, "llm_token_price")
+        if existing is not None:
+            db.delete(existing)
+            db.flush()
+        db.add(
+            AppConfig(
+                key="llm_token_price",
+                value={"default": {"input_per_1m": 1, "output_per_1m": 1}},
+                updated_at=price_changed_at,
+            )
+        )
+        db.commit()
+
+    seen: list[str] = []
+
+    def backfill(record_id: int, trace_id: str, **kwargs) -> bool:
+        seen.append(trace_id)
+        return True
+
+    monkeypatch.setattr(
+        comparison_llm_backfill,
+        "backfill_comparison_llm_cost",
+        backfill,
+    )
+    try:
+        result = comparison_llm_backfill.repair_missing_comparison_llm_costs(
+            limit=10_000,
+            lookback_days=1,
+        )
+        assert "llm-after-price-change" in seen
+        assert "llm-before-price-change" not in seen
+        assert result["repaired"] == len(seen)
+        assert result["unresolved"] == 0
+    finally:
+        _delete(before_id)
+        _delete(after_id)
+        with SessionLocal() as db:
+            config = db.get(AppConfig, "llm_token_price")
+            if config is not None:
+                db.delete(config)
+                db.commit()

tests/test_derive_best_excludes_short.py

@@ -0,0 +1,102 @@
+"""_derive_from_results / _derive: 缺菜(漏菜)店总价虚低, 不当记录级"最低价"。
+
+回归: pricebot comparison_results[].rank 是纯价格排序(含缺菜), server 派生 best 若照单全收,
+会把缺菜店的虚低价当 best_price → 记录页戴"最低"红框 + 虚假省额。
+修复: 派生 best 时按 platform_results[pid].skipped_dish_count 排除缺菜店(源平台永远全菜, 仍可当 best)。
+纯函数, 不碰 DB。
+"""
+from app.repositories.comparison import _derive, _derive_from_results
+from app.schemas.compare_record import ComparisonRecordIn, ComparisonResultIn
+
+
+def test_derive_from_results_excludes_short_ordered_from_best():
+    # jd 缺 2 道菜 → 虚低 ¥25(rank=1); tb 全有 ¥38.5; 源美团 ¥42。best 应是 tb(干净最便宜), 不是 jd。
+    results = [
+        {"platform_id": "meituan", "platform_name": "美团", "price": 42.0, "is_source": True, "rank": 3},
+        {"platform_id": "jd_waimai", "platform_name": "京东外卖", "price": 25.0, "is_source": False, "rank": 1},
+        {"platform_id": "taobao_flash", "platform_name": "淘宝闪购", "price": 38.5, "is_source": False, "rank": 2},
+    ]
+    platform_results = {
+        "jd_waimai": {"skipped_dish_count": 2},
+        "taobao_flash": {"skipped_dish_count": 0},
+        "meituan": {"is_source": True},
+    }
+    d = _derive_from_results(results, platform_results)
+    assert d["best_platform_id"] == "taobao_flash"
+    assert d["best_price_cents"] == 3850
+    assert d["saved_amount_cents"] == 4200 - 3850   # 350, 用干净店算省额, 不是缺菜虚低价 42-25=17元
+    assert d["is_source_best"] is False
+
+
+def test_derive_from_results_all_targets_short_falls_back_to_source():
+    # 唯一比源便宜的都是缺菜 → 不crown缺菜店; 源全菜 → best=源, is_source_best, 不虚报省额。
+    results = [
+        {"platform_id": "meituan", "price": 42.0, "is_source": True, "rank": 2},
+        {"platform_id": "jd_waimai", "price": 25.0, "is_source": False, "rank": 1},
+    ]
+    platform_results = {"jd_waimai": {"skipped_dish_count": 3}}
+    d = _derive_from_results(results, platform_results)
+    assert d["best_platform_id"] == "meituan"
+    assert d["is_source_best"] is True
+    assert d["saved_amount_cents"] == 0
+
+
+def test_derive_from_results_no_platform_results_keeps_old_behavior():
+    # 不传 platform_results(老 harvest / 无缺菜信息)→ 行为不变: 纯 rank/price 选 best。
+    results = [
+        {"platform_id": "meituan", "price": 42.0, "is_source": True, "rank": 2},
+        {"platform_id": "jd_waimai", "price": 25.0, "is_source": False, "rank": 1},
+    ]
+    d = _derive_from_results(results)
+    assert d["best_platform_id"] == "jd_waimai"
+    assert d["best_price_cents"] == 2500
+
+
+def test_derive_from_results_malformed_platform_results_no_crash():
+    # 内层值非 dict(异常/伪造上报)→ 不抛 AttributeError, 按"不缺菜"处理, 照常选最便宜。
+    results = [
+        {"platform_id": "meituan", "price": 42.0, "is_source": True, "rank": 2},
+        {"platform_id": "jd_waimai", "price": 25.0, "is_source": False, "rank": 1},
+    ]
+    d = _derive_from_results(results, {"jd_waimai": "oops"})
+    assert d["best_platform_id"] == "jd_waimai"
+    assert d["best_price_cents"] == 2500
+
+
+def test_derive_pydantic_excludes_short():
+    # _derive(老客户端 POST 路径)同样排除缺菜店: jd 缺菜虚低 ¥25 不当 best, 取干净的淘宝 ¥38.5。
+    payload = ComparisonRecordIn(
+        trace_id="t-short-pyd",
+        source_price=42.0,
+        source_platform_id="meituan",
+        comparison_results=[
+            ComparisonResultIn(platform_id="meituan", platform_name="美团", price=42.0, is_source=True, rank=3),
+            ComparisonResultIn(platform_id="jd_waimai", platform_name="京东外卖", price=25.0, is_source=False, rank=1),
+            ComparisonResultIn(platform_id="taobao_flash", platform_name="淘宝闪购", price=38.5, is_source=False, rank=2),
+        ],
+        platform_results={
+            "jd_waimai": {"skipped_dish_count": 2},
+            "taobao_flash": {"skipped_dish_count": 0},
+        },
+    )
+    d = _derive(payload)
+    assert d["best_platform_id"] == "taobao_flash"
+    assert d["best_price_cents"] == 3850
+    assert d["saved_amount_cents"] == 4200 - 3850
+    assert d["is_source_best"] is False
+
+
+def test_derive_pydantic_malformed_platform_results_no_crash():
+    # _derive 的 platform_results 来自老客户端透传(可伪造): 内层非 dict 不应打 500。
+    payload = ComparisonRecordIn(
+        trace_id="t-malformed-pyd",
+        source_price=42.0,
+        comparison_results=[
+            ComparisonResultIn(platform_id="meituan", price=42.0, is_source=True, rank=2),
+            ComparisonResultIn(platform_id="jd_waimai", price=25.0, is_source=False, rank=1),
+        ],
+        platform_results={"jd_waimai": "oops"},
+    )
+    d = _derive(payload)  # 不抛 AttributeError
+    assert d["best_platform_id"] == "jd_waimai"
+    assert d["best_price_cents"] == 2500

tests/test_llm_cost.py

@@ -132,6 +132,7 @@ def test_backfill_llm_calls_stores_cost_and_snapshot(monkeypatch):
     from app.models.app_config import AppConfig
     from app.models.comparison import ComparisonRecord
     from app.repositories import app_config
+    from app.services import comparison_llm_backfill
 
     sample = [
         {"model": "qwen3.5-flash", "error": None, "usage": {"prompt_tokens": 1512, "completion_tokens": 22}},
@@ -139,7 +140,12 @@ def test_backfill_llm_calls_stores_cost_and_snapshot(monkeypatch):
         {"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)
+    monkeypatch.setattr(
+        comparison_llm_backfill, "fetch_llm_calls", lambda trace_id: sample
+    )
+    monkeypatch.setattr(
+        comparison_llm_backfill.settings, "INTERNAL_API_SECRET", "test-secret"
+    )
 
     db = SessionLocal()
     try:

tests/test_pricebot_llm_calls.py

@@ -0,0 +1,55 @@
+from unittest.mock import MagicMock
+
+from app.core.config import settings
+from app.services import pricebot_llm_calls
+
+
+def test_auth_probe_accepts_matching_secret(monkeypatch):
+    monkeypatch.setattr(settings, "INTERNAL_API_SECRET", "same-secret")
+    response = MagicMock(status_code=200)
+    get = MagicMock(return_value=response)
+    monkeypatch.setattr(pricebot_llm_calls.httpx, "get", get)
+
+    assert pricebot_llm_calls.pricebot_llm_auth_ready() is True
+    assert get.call_count == len(settings.pricebot_instances)
+    assert all(
+        call.kwargs["headers"]["X-Internal-Secret"] == "same-secret"
+        for call in get.call_args_list
+    )
+
+
+def test_auth_probe_rejects_mismatched_secret(monkeypatch):
+    monkeypatch.setattr(settings, "INTERNAL_API_SECRET", "app-server-secret")
+    monkeypatch.setattr(
+        pricebot_llm_calls.httpx,
+        "get",
+        MagicMock(return_value=MagicMock(status_code=403)),
+    )
+
+    assert pricebot_llm_calls.pricebot_llm_auth_ready() is False
+
+
+def test_fetch_falls_back_to_other_instance_when_hash_target_is_empty(monkeypatch):
+    monkeypatch.setattr(settings, "INTERNAL_API_SECRET", "same-secret")
+    monkeypatch.setattr(
+        settings,
+        "PRICEBOT_INSTANCES",
+        "http://pricebot-1:8000,http://pricebot-2:8000",
+    )
+    monkeypatch.setattr(
+        pricebot_llm_calls,
+        "pick_pricebot",
+        lambda trace_id: "http://pricebot-1:8000",
+    )
+    calls = [{"model": "qwen", "usage": {"prompt_tokens": 1}}]
+
+    def get(url, **kwargs):
+        response = MagicMock(status_code=200)
+        response.json.return_value = {
+            "calls": [] if "pricebot-1" in url else calls
+        }
+        return response
+
+    monkeypatch.setattr(pricebot_llm_calls.httpx, "get", get)
+
+    assert pricebot_llm_calls.fetch_llm_calls("trace-after-rescale") == calls