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

## 背景

线上首页轮播候选记录中，测试账号 u33（11111111111）贡献约 51.8% 的真实记录，导致该用户频繁出现。

## 改动

- App 首页轮播真实记录查询排除全部已配置测试账号
- 后台首页轮播可展示记录同步采用相同过滤口径
- 同时兼容 TEST_ACCOUNT_PHONE 与 TEST_ACCOUNT_PHONES
- 测试账号配置变化时立即使轮播查询缓存失效
- 不删除历史业务数据，仅在展示查询中排除

## 验证

- ruff check：通过
- pytest tests/test_ops_marquee.py -q：1 passed

---------

Co-authored-by: linkeyu <798648091@qq.com>
Reviewed-on: #215
Co-authored-by: linkeyu <linkeyu@wonderable.ai>
Co-committed-by: linkeyu <linkeyu@wonderable.ai>

alembic/versions/comparison_below_minimum_as_success.py

@@ -0,0 +1,76 @@
+"""normalize granular comparison outcomes into terminal record statuses
+
+Revision ID: comparison_below_min_success
+Revises: limit_policy_global_bundle
+"""
+from __future__ import annotations
+
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+from alembic import op
+
+revision: str = "comparison_below_min_success"
+down_revision: str | Sequence[str] | None = "limit_policy_global_bundle"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
+_FAILED_OUTCOMES = (
+    "store_closed",
+    "store_not_found",
+    "items_not_found",
+    "no_delivery",
+    "unsupported",
+)
+
+
+def _comparison_record() -> sa.TableClause:
+    return sa.table(
+        "comparison_record",
+        sa.column("status", sa.String(16)),
+        sa.column("fail_reason", sa.String(256)),
+        sa.column("raw_payload", _JSON),
+    )
+
+
+def upgrade() -> None:
+    comparison_record = _comparison_record()
+    op.execute(
+        comparison_record.update()
+        .where(comparison_record.c.status == "below_minimum")
+        .values(status="success", fail_reason=None)
+    )
+    op.execute(
+        comparison_record.update()
+        .where(comparison_record.c.status.in_(_FAILED_OUTCOMES))
+        .values(status="failed")
+    )
+
+
+def downgrade() -> None:
+    comparison_record = _comparison_record()
+    # The write paths deliberately preserve the granular outcome. Restore only
+    # rows that this change normalized, without touching ordinary successes.
+    raw_outcome = sa.func.coalesce(
+        comparison_record.c.raw_payload["record_status"].as_string(),
+        comparison_record.c.raw_payload["status"].as_string(),
+    )
+    op.execute(
+        comparison_record.update()
+        .where(
+            comparison_record.c.status == "success",
+            raw_outcome == "below_minimum",
+        )
+        .values(status="below_minimum")
+    )
+    op.execute(
+        comparison_record.update()
+        .where(
+            comparison_record.c.status == "failed",
+            raw_outcome.in_(_FAILED_OUTCOMES),
+        )
+        .values(status=raw_outcome)
+    )

alembic/versions/deepseek_v4_flash_price.py

@@ -0,0 +1,211 @@
+"""correct DeepSeek V4 Flash token price and frozen historical costs
+
+Revision ID: deepseek_v4_flash_price
+Revises: comparison_below_min_success
+"""
+from __future__ import annotations
+
+import json
+from collections.abc import Sequence
+from typing import Any
+
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+from alembic import op
+
+revision: str = "deepseek_v4_flash_price"
+down_revision: str | Sequence[str] | None = "comparison_below_min_success"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
+_CONFIG_KEY = "llm_token_price"
+_MODEL = "deepseek-v4-flash"
+_OLD_INPUT_PRICE = 3.0
+_OLD_OUTPUT_PRICE = 15.0
+_NEW_INPUT_PRICE = 1.0
+_NEW_OUTPUT_PRICE = 2.0
+_CORRECTION_MARKER = "deepseek_v4_flash_price"
+_CONFIG_MARKER_KEY = "migration_deepseek_v4_flash_price"
+
+
+def _decode_object(value: Any) -> dict[str, Any] | None:
+    if isinstance(value, dict):
+        return value
+    if isinstance(value, str):
+        try:
+            parsed = json.loads(value)
+        except (TypeError, ValueError):
+            return None
+        return parsed if isinstance(parsed, dict) else None
+    return None
+
+
+def _model_tokens(calls: Any) -> tuple[int, int]:
+    if not isinstance(calls, list):
+        return 0, 0
+    input_tokens = 0
+    output_tokens = 0
+    for call in calls:
+        if not isinstance(call, dict) or call.get("error") or call.get("model") != _MODEL:
+            continue
+        usage = _decode_object(call.get("usage"))
+        if usage is None:
+            continue
+        input_tokens += int(usage.get("prompt_tokens") or 0)
+        output_tokens += int(usage.get("completion_tokens") or 0)
+    return input_tokens, output_tokens
+
+
+def _app_config_table() -> sa.TableClause:
+    return sa.table(
+        "app_config",
+        sa.column("key", sa.String(64)),
+        sa.column("value", _JSON),
+        sa.column("updated_at", sa.DateTime(timezone=True)),
+    )
+
+
+def _comparison_table() -> sa.TableClause:
+    return sa.table(
+        "comparison_record",
+        sa.column("id", sa.Integer),
+        sa.column("llm_calls", _JSON),
+        sa.column("llm_cost_yuan", sa.Float),
+        sa.column("llm_price_snapshot", _JSON),
+    )
+
+
+def _update_config(conn, *, upgrade: bool) -> None:
+    table = _app_config_table()
+    row = conn.execute(
+        sa.select(table.c.value).where(table.c.key == _CONFIG_KEY)
+    ).mappings().first()
+    if row is None or not isinstance(row["value"], dict):
+        return
+
+    config = dict(row["value"])
+    per_model = dict(config.get("per_model") or {})
+    current = per_model.get(_MODEL)
+    if upgrade:
+        # Preserve an operator's explicit model price. The production defect is specifically
+        # the missing key falling through to the generic 3/15 price.
+        if current is not None:
+            return
+        per_model[_MODEL] = {
+            "input_per_1m": _NEW_INPUT_PRICE,
+            "output_per_1m": _NEW_OUTPUT_PRICE,
+        }
+        conn.execute(table.insert().values(key=_CONFIG_MARKER_KEY, value=True))
+    else:
+        marker_exists = conn.execute(
+            sa.select(table.c.key).where(table.c.key == _CONFIG_MARKER_KEY)
+        ).scalar_one_or_none()
+        if marker_exists is None:
+            return
+        if current != {
+            "input_per_1m": _NEW_INPUT_PRICE,
+            "output_per_1m": _NEW_OUTPUT_PRICE,
+        }:
+            conn.execute(table.delete().where(table.c.key == _CONFIG_MARKER_KEY))
+            return
+        per_model.pop(_MODEL, None)
+        conn.execute(table.delete().where(table.c.key == _CONFIG_MARKER_KEY))
+    config["per_model"] = per_model
+    conn.execute(
+        table.update()
+        .where(table.c.key == _CONFIG_KEY)
+        # 这是对历史误配置的追溯修正，不是从部署时刻开始的新价格。保留原 updated_at，
+        # 否则缺失成本回填会把部署前的记录全部排除。
+        .values(value=config)
+    )
+
+
+def _correct_frozen_costs(conn, *, upgrade: bool) -> None:
+    table = _comparison_table()
+    rows = conn.execute(
+        sa.select(
+            table.c.id,
+            table.c.llm_calls,
+            table.c.llm_cost_yuan,
+            table.c.llm_price_snapshot,
+        ).where(
+            table.c.llm_cost_yuan.is_not(None),
+            table.c.llm_price_snapshot.is_not(None),
+        )
+    ).mappings()
+
+    for row in rows:
+        snapshot = row["llm_price_snapshot"]
+        if not isinstance(snapshot, dict):
+            continue
+        prices = snapshot.get("prices")
+        if not isinstance(prices, dict):
+            continue
+        model_price = prices.get(_MODEL)
+        if not isinstance(model_price, dict):
+            continue
+
+        if upgrade:
+            if not (
+                model_price.get("_source") == "default"
+                and model_price.get("input_per_1m") == _OLD_INPUT_PRICE
+                and model_price.get("output_per_1m") == _OLD_OUTPUT_PRICE
+            ):
+                continue
+        elif snapshot.get("pricing_correction") != _CORRECTION_MARKER:
+            continue
+
+        input_tokens, output_tokens = _model_tokens(row["llm_calls"])
+        if input_tokens == 0 and output_tokens == 0:
+            continue
+        if upgrade:
+            delta = (
+                input_tokens / 1_000_000 * (_OLD_INPUT_PRICE - _NEW_INPUT_PRICE)
+                + output_tokens / 1_000_000 * (_OLD_OUTPUT_PRICE - _NEW_OUTPUT_PRICE)
+            )
+            corrected_price = {
+                "input_per_1m": _NEW_INPUT_PRICE,
+                "output_per_1m": _NEW_OUTPUT_PRICE,
+                "_source": "per_model",
+            }
+            snapshot["pricing_correction"] = _CORRECTION_MARKER
+            new_cost = max(0.0, float(row["llm_cost_yuan"]) - delta)
+        else:
+            delta = (
+                input_tokens / 1_000_000 * (_OLD_INPUT_PRICE - _NEW_INPUT_PRICE)
+                + output_tokens / 1_000_000 * (_OLD_OUTPUT_PRICE - _NEW_OUTPUT_PRICE)
+            )
+            corrected_price = {
+                "input_per_1m": _OLD_INPUT_PRICE,
+                "output_per_1m": _OLD_OUTPUT_PRICE,
+                "_source": "default",
+            }
+            snapshot.pop("pricing_correction", None)
+            new_cost = float(row["llm_cost_yuan"]) + delta
+
+        updated_prices = dict(prices)
+        updated_prices[_MODEL] = corrected_price
+        updated_snapshot = dict(snapshot)
+        updated_snapshot["prices"] = updated_prices
+        conn.execute(
+            table.update()
+            .where(table.c.id == row["id"])
+            .values(
+                llm_cost_yuan=round(new_cost, 6),
+                llm_price_snapshot=updated_snapshot,
+            )
+        )
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    _update_config(conn, upgrade=True)
+    _correct_frozen_costs(conn, upgrade=True)
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    _correct_frozen_costs(conn, upgrade=False)
+    _update_config(conn, upgrade=False)

app/admin/repositories/queries.py

@@ -39,6 +39,34 @@ from app.repositories import activity, ad_ecpm
 # 折算成可提现现金时,非广告金币来源的排除集(广告单独统计、人工调整不算"赚取")
 _NON_TASK_BIZ_TYPES = ("reward_video", "feed_ad_reward", "admin_grant", "admin_deduct")
 
+# comparison_record historically persisted a few granular business outcomes as
+# top-level statuses. Admin filters and metrics expose lifecycle buckets while
+# retaining the raw values until the data migration has run everywhere.
+_COMPARISON_STATUS_ALIASES = {
+    "success": ("success", "below_minimum"),
+    "failed": (
+        "failed",
+        "store_closed",
+        "store_not_found",
+        "items_not_found",
+        "no_delivery",
+        "unsupported",
+    ),
+    "cancelled": ("cancelled",),
+    "running": ("running",),
+}
+_COMPARISON_SUCCESS_STATUSES = _COMPARISON_STATUS_ALIASES["success"]
+_COMPARISON_FAILED_STATUSES = _COMPARISON_STATUS_ALIASES["failed"]
+_COMPARISON_COMPLETED_STATUSES = (
+    *_COMPARISON_SUCCESS_STATUSES,
+    *_COMPARISON_FAILED_STATUSES,
+)
+
+
+def _comparison_status_condition(status: str):
+    values = _COMPARISON_STATUS_ALIASES.get(status, (status,))
+    return ComparisonRecord.status.in_(values)
+
 # 信息流点位场景 → 金币记录「赚取途径」展示名;NULL/未知 = 历史未分类。
 _FEED_SCENE_LABEL = {
     "comparison": "比价信息流",
@@ -334,7 +362,7 @@ def _comparison_conditions(
             )
         )
     if status:
-        conditions.append(ComparisonRecord.status == status)
+        conditions.append(_comparison_status_condition(status))
     if business_type:
         conditions.append(ComparisonRecord.business_type == business_type)
     if store:
@@ -419,7 +447,7 @@ def _comparison_duration_aggregate_stmt(conditions: list, status: str, quantiles
         ),
     ).where(
         *conditions,
-        ComparisonRecord.status == status,
+        _comparison_status_condition(status),
         ComparisonRecord.total_ms.is_not(None),
     )
 
@@ -444,7 +472,7 @@ def _comparison_duration_aggregates(
             select(ComparisonRecord.total_ms)
             .where(
                 *conditions,
-                ComparisonRecord.status == status,
+                _comparison_status_condition(status),
                 ComparisonRecord.total_ms.is_not(None),
             )
             .order_by(ComparisonRecord.total_ms)
@@ -474,11 +502,11 @@ def comparison_records_summary(
     row = db.execute(
         select(
             func.count(ComparisonRecord.id),
-            func.sum(case((ComparisonRecord.status.in_(("success", "failed")), 1), else_=0)),
-            func.sum(case((ComparisonRecord.status == "success", 1), else_=0)),
+            func.sum(case((ComparisonRecord.status.in_(_COMPARISON_COMPLETED_STATUSES), 1), else_=0)),
+            func.sum(case((ComparisonRecord.status.in_(_COMPARISON_SUCCESS_STATUSES), 1), else_=0)),
             func.avg(ComparisonRecord.llm_cost_yuan),
             func.sum(case((
-                (ComparisonRecord.status == "success")
+                ComparisonRecord.status.in_(_COMPARISON_SUCCESS_STATUSES)
                 & (ComparisonRecord.saved_amount_cents > 0), 1
             ), else_=0)),
             func.sum(case((ComparisonRecord.status == "cancelled", 1), else_=0)),

app/admin/routers/comparison.py

@@ -35,7 +35,7 @@ def list_comparison_records(
     db: AdminDb,
     user_id: Annotated[int | None, Query()] = None,
     phone: Annotated[str | None, Query(description="手机号前缀")] = None,
-    status: Annotated[str | None, Query(pattern="^(success|failed|cancelled)$")] = None,
+    status: Annotated[str | None, Query(pattern="^(success|failed|cancelled|running)$")] = None,
     business_type: Annotated[str | None, Query()] = None,
     store: Annotated[str | None, Query(description="店名子串模糊匹配")] = None,
     product: Annotated[str | None, Query(description="商品名子串模糊匹配")] = None,
@@ -66,7 +66,7 @@ def comparison_records_summary(
     db: AdminDb,
     user_id: Annotated[int | None, Query()] = None,
     phone: Annotated[str | None, Query(description="手机号前缀")] = None,
-    status: Annotated[str | None, Query(pattern="^(success|failed|cancelled)$")] = None,
+    status: Annotated[str | None, Query(pattern="^(success|failed|cancelled|running)$")] = None,
     business_type: Annotated[str | None, Query()] = None,
     store: Annotated[str | None, Query(description="店名子串模糊匹配")] = None,
     product: Annotated[str | None, Query(description="商品名子串模糊匹配")] = None,

app/admin/schemas/comparison.py

@@ -20,7 +20,7 @@ class AdminComparisonListItem(BaseModel):
     trace_id: str
     # admin 是 debug 工具,无条件下发 trace_url(不看 user.debug_trace_enabled)
     trace_url: str | None = None
-    status: str
+    status: str  # success / failed / cancelled / running;旧细分值由前端兼容映射
     information: str | None = None
     store_name: str | None = None
     product_names: str | None = None   # 下单商品名派生串(顿号分隔;「商品」列展示 + 商品搜索)
@@ -83,6 +83,7 @@ class AdminComparisonDetail(AdminComparisonListItem):
     skipped_dish_count: int | None = None
     device_id: str | None = None
     items: list = []
+    platforms: list = []  # pricebot 渲染就绪的逐平台卡片模型(status=ok/业务失败细分)
     comparison_results: list = []   # 逐平台对比(价格/rank/coupon/打烊...)
     skipped_dish_names: list = []
     # 全量环境

app/core/config_schema.py

@@ -227,7 +227,11 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
     # 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}},
+            "per_model": {
+                "qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0},
+                # DashScope 华北 2 公网调用原价；必须显式配置，不能落到 3/15 的未知模型兜底价。
+                "deepseek-v4-flash": {"input_per_1m": 1.0, "output_per_1m": 2.0},
+            },
             "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
             "currency": "CNY", "unit": "per_1m_tokens",
         },

app/core/rewards.py

@@ -234,13 +234,17 @@ def calculate_ad_reward_coin(ecpm: str | int | float | None, count_after_this: i
     会铸天量金币;钳在这唯一入口,feed 与 reward_video 回退客户端 eCPM 的路径都护住,且阈值高于
     所有真实值,不影响正规发奖。
 
-    下限(2026-07):有真实正 eCPM 时单份至少 1 金币——低 eCPM 单份收益四舍五入成 0 时兜底为 1,
-    避免用户看了广告却因数值太小被记 too_short 零发。eCPM 缺失/为 0/非法(没有真实广告价值)仍返 0,
-    不凭空铸币、不破坏 ecpm_missing 语义;防刷上限仍由 AD_ECPM_MAX_FEN 钳顶把守。
+    下限(2026-08,产品口径「看了就保底 1」):**任何输入**都至少 1 金币,与前端展示公式
+    FeedRewardFormula.singleUnitCoin 完全对齐(那边注释:"无论 eCPM 是否为空、非法或非正数,
+    单条广告最低都发 1 金币,不能出现 +0")。此前 eCPM 缺失/为 0 返 0,造成两端不一致:
+    小球显示 +1、后端信息流记 too_short 零发;激励视频侧 "0" 字符串还是 truthy、绕过
+    ecpm_missing 的 `if not ecpm_raw` 判定,落成 granted 0 币且白占当日额度/LT 计数。
+    防刷影响:伪造 eCPM≤0 每天至多多骗 每日上限×1 金币(500 金币=0.05 元),量级可控;
+    天价伪造仍由 AD_ECPM_MAX_FEN 钳顶把守。
     """
     ecpm_yuan = min(parse_ecpm_yuan(ecpm), AD_ECPM_MAX_FEN / 100.0)
     if ecpm_yuan <= 0:
-        return 0
+        return 1  # 保底:缺失/为 0/非法也发 1(镜像前端 validEcpmFen 判非法 → 直接返 1)
     yuan = (ecpm_yuan / 1000.0) * ad_ecpm_factor(ecpm_yuan) * ad_lt_factor(count_after_this)
     return max(1, round(yuan * COIN_PER_YUAN))
 

app/models/comparison.py

@@ -97,7 +97,7 @@ class ComparisonRecord(Base):
     total_dish_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
     skipped_dish_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
 
-    # success(拿到有效对比)/ failed(出错或没采到目标价)
+    # success(流程正常完成,含 below_minimum)/ failed(技术异常或未形成可比报价,含店铺打烊等)
     status: Mapped[str] = mapped_column(String(16), nullable=False, default="success")
     # done 帧 information 文案。成功:"在美团找到同店,到手价 ¥X…";
     # 失败:具体原因(如"美团、京东外卖均未找到该商品")。前端在比价失败时当原因展示。

app/repositories/comparison.py

@@ -76,6 +76,30 @@ _BIZ_STATUS_PRIORITY = (
 )
 
 
+def _normalize_record_status(status: str | None) -> str | None:
+    """Map granular business outcomes onto the record lifecycle status.
+
+    ``record_status`` describes the business outcome, while
+    ``comparison_record.status`` is also the completed-comparison flag used by
+    milestones, stats and idempotent rewards. ``below_minimum`` is a completed
+    success because the target cart produced a trustworthy conclusion. Other
+    known target-side outcomes did not produce a comparable quote and belong
+    to the failed record bucket. The granular outcome remains in ``raw_payload``
+    and ``platform_results`` for result rendering.
+    """
+    if status == "below_minimum":
+        return "success"
+    if status in {
+        "store_closed",
+        "store_not_found",
+        "items_not_found",
+        "no_delivery",
+        "unsupported",
+    }:
+        return "failed"
+    return status
+
+
 def _store_closed_text(reason: str | None) -> str:
     """打烊/暂停营业/休息类 reason 常带脏店名元数据 → 只留结论,套简短模板。"""
     r = reason or ""
@@ -164,9 +188,10 @@ def _derive(payload: ComparisonRecordIn) -> dict:
 
     is_source_best = best.is_source if best is not None else None
 
-    # status:优先 pricebot record_status(区分 below_minimum/store_closed) → 客户端显式 status
-    # → 兜底"非源且有价"=success/否则 failed。record_status 让"未满起送"不再塌缩成 failed。
-    status = payload.record_status or payload.status
+    # status:优先 pricebot record_status → 客户端显式 status → 兜底派生。
+    # below_minimum 是已形成可信结论的正常完成态,记录级归 success;细分结局仍完整保留在
+    # raw_payload/platform_results,供结果卡展示"未满起送"。
+    status = _normalize_record_status(payload.record_status or payload.status)
     if status is None:
         has_valid_target = any(
             (not r.is_source) and r.price is not None for r in results
@@ -201,7 +226,9 @@ def upsert_record(
     # 单源派生: 与 harvest_done 一致, payload 带 platforms 时从它派生(唯一真相源
     # _derive_from_platforms), 老客户端不带 platforms 时回退 _derive(从 comparison_results)。
     if payload.platforms:
-        derived = _derive_from_platforms(payload.platforms, payload.record_status)
+        derived = _derive_from_platforms(
+            payload.platforms, payload.record_status or payload.status
+        )
         # 对齐 _derive 返回键(#189 fail_reason): 两路径 fields 键集一致, 覆盖已有行时不残留旧值
         derived["fail_reason"] = (
             _derive_fail_display(payload.information, payload.platform_results or {})
@@ -356,10 +383,10 @@ def _derive_from_results(
         "saved_amount_cents": saved_amount_cents,
         "is_source_best": best.get("is_source") if best else None,
         "store_name": (src_row or {}).get("store_name") or None,
-        # 记录级结局: 优先用 pricebot 下发的 record_status(区分 below_minimum/store_closed,
-        # 不再把"未满起送"塌缩成 failed → 记录页不再误报"网络开小差"); 旧 pricebot 未下发时
-        # 回退老的 success/failed 二态派生, 向后兼容。
-        "status": record_status or ("success" if has_valid_target else "failed"),
+        # below_minimum 已完成到购物车并形成可信结论,记录级计 success;细分结局仍在
+        # raw_payload/platform_results。旧 pricebot 未下发 record_status 时回退二态派生。
+        "status": _normalize_record_status(record_status)
+        or ("success" if has_valid_target else "failed"),
     }
 
 
@@ -412,7 +439,8 @@ def _derive_from_platforms(
         "saved_amount_cents": saved_amount_cents,
         "is_source_best": (best.get("role") == "source") if best else None,
         "store_name": store_name or None,
-        "status": record_status or ("success" if has_valid_target else "failed"),
+        "status": _normalize_record_status(record_status)
+        or ("success" if has_valid_target else "failed"),
     }
 
 
@@ -584,7 +612,8 @@ def harvest_done(
     行不存在(理论上帧0已建;防御)则新建。"""
     results = done_params.get("comparison_results") or []
     # 展示模型统一数组(pricebot 新增, 每平台一行自带 status/is_best): 原样存, 记录页据此直渲染。
-    # record_status: 记录级结局(success/below_minimum/store_closed/failed), 覆盖老二态派生。
+    # record_status: 记录级业务结局(success/below_minimum/store_closed/failed)。其中
+    # below_minimum 是正常完成态,持久化 status 归 success,原值仍随 done_params 落 raw_payload。
     platforms = done_params.get("platforms") or []
     record_status = done_params.get("record_status")
     # 单源派生: platforms(含 pricebot 权威 is_best)是唯一真相源, best_*/source_*/saved/status

app/repositories/ops_marquee.py

@@ -25,6 +25,7 @@ from datetime import datetime, timedelta
 from sqlalchemy import delete, func, select, update
 from sqlalchemy.orm import Session
 
+from app.core.config import settings
 from app.core.rewards import CN_TZ
 from app.models.comparison import ComparisonRecord
 from app.models.ops_marquee_seed import OpsMarqueeSeed
@@ -54,7 +55,7 @@ _SEED_MAX_CENTS = 100000
 # 展示层随机(抽样/金额/时间/名字合成)仍每次重算,缓存只省查询;新记录最多晚 30s 进轮播,可接受。
 _REAL_ROWS_TTL_SECONDS = 30
 _REAL_ROWS_FETCH_CAP = 600  # 一次多取些,够 limit≤30 去重后取数;命中缓存后复用
-_real_rows_cache: dict = {"at": None, "rows": None}
+_real_rows_cache: dict = {"at": None, "rows": None, "test_phones": None}
 
 # ===== 用户标识脱敏(对齐 PRD) + 种子无真实昵称时的假名合成 =====
 # 脱敏规则(按字符数,中英文皆适用):有昵称→n≥5「首+***+末」、n=4「首+**+末」、n≤3「首+**」;
@@ -198,10 +199,16 @@ def _recent_real_rows(db: Session) -> list[tuple[int, int, str | None]]:
     返回纯元组(脱离 session),可安全跨请求复用。极端并发下偶尔多查一次(无锁、幂等),纯门面无副作用。
     """
     now = datetime.now(CN_TZ)
+    test_phones = tuple(sorted(settings.test_account_phones))
     cached, at = _real_rows_cache["rows"], _real_rows_cache["at"]
-    if cached is not None and at is not None and (now - at).total_seconds() < _REAL_ROWS_TTL_SECONDS:
+    if (
+        cached is not None
+        and at is not None
+        and _real_rows_cache["test_phones"] == test_phones
+        and (now - at).total_seconds() < _REAL_ROWS_TTL_SECONDS
+    ):
         return cached
-    rows = db.execute(
+    stmt = (
         select(ComparisonRecord.user_id, ComparisonRecord.saved_amount_cents, User.nickname)
         .join(User, User.id == ComparisonRecord.user_id)
         .where(
@@ -211,9 +218,12 @@ def _recent_real_rows(db: Session) -> list[tuple[int, int, str | None]]:
         )
         .order_by(ComparisonRecord.created_at.desc())
         .limit(_REAL_ROWS_FETCH_CAP)
-    ).all()
+    )
+    if test_phones:
+        stmt = stmt.where(User.phone.not_in(test_phones))
+    rows = db.execute(stmt).all()
     out = [(int(uid), int(sc), nick) for uid, sc, nick in rows]
-    _real_rows_cache["rows"], _real_rows_cache["at"] = out, now
+    _real_rows_cache.update(rows=out, at=now, test_phones=test_phones)
     return out
 
 
@@ -340,7 +350,7 @@ def list_real_records(
     # pool: [(cluster_key, item)];cluster_key 供去连簇——真实=user_id、种子=各自唯一负数(互不聚簇)
     pool: list[tuple[int, dict]] = []
     if mode != "seed":
-        rows = db.execute(
+        stmt = (
             select(
                 ComparisonRecord.user_id,
                 ComparisonRecord.saved_amount_cents,
@@ -355,7 +365,11 @@ def list_real_records(
             )
             .order_by(ComparisonRecord.created_at.desc())
             .limit(_REAL_BROWSE_CAP)
-        ).all()
+        )
+        test_phones = tuple(sorted(settings.test_account_phones))
+        if test_phones:
+            stmt = stmt.where(User.phone.not_in(test_phones))
+        rows = db.execute(stmt).all()
         for uid, sc, nick, ca in rows:
             pool.append((
                 int(uid),

app/schemas/compare_record.py

@@ -111,8 +111,9 @@ class ComparisonRecordIn(BaseModel):
     # status/is_best/display/display_order,记录页据此直渲染。宽松 list[dict] 存(结构由
     # pricebot 定,server 只原样落库),前端读它、老记录空时回退 comparison_results。
     platforms: list[dict] = Field(default_factory=list)
-    # 记录级结局(pricebot 下发): success/below_minimum/store_closed/failed。让"未满起送"不再
-    # 被塌缩成 failed。_derive 优先用它、其次客户端 status、再兜底二态派生。
+    # 记录级业务结局(pricebot 下发): success/below_minimum/store_closed/failed。
+    # below_minimum 表示流程正常完成,持久化主状态归 success;store_closed/items_not_found 等
+    # 已知无报价结局归 failed。原值仍随 raw_payload 落库,admin/记录页从 platform_results 展示细分结论。
     record_status: str | None = None
     # 逐平台结局摘要(含失败平台的细分原因 status: store_not_found/items_not_found/below_minimum/
     # unsupported/...)。来自 done.params.platform_results,客户端透传;落 raw_payload(不单列),

tests/test_ad_reward_coin_floor.py

@@ -1,8 +1,13 @@
-"""发奖公式下限:有真实正 eCPM 时最低发 1 金币,eCPM 缺失/为 0 仍发 0。
+"""发奖公式下限:看了就保底 1 金币,与前端展示公式完全对齐。
 
-针对「eCPM 过低时公式四舍五入成 0 金币 → 被记 too_short 不发」的问题:只要广告有真实
-正 eCPM,单份金币至少 1(不再 0);但 eCPM 缺失/为 0/非法(没有真实广告价值)仍发 0,
-不凭空铸币、不破坏 ecpm_missing 语义。公式是发奖与后台审计对账的唯一口径,改这一处两边同源。
+产品口径(2026-08「看了就保底 1」):`calculate_ad_reward_coin` 对**任何输入**都至少返回 1,
+镜像客户端 FeedRewardFormula.singleUnitCoin(那边:eCPM 空/非法/非正数都返 1)。此前 eCPM
+缺失/为 0 返 0,与前端小球显示的 +1 不一致,且信息流侧把这类看满一份的广告记成 too_short 零发。
+公式是发奖与后台审计对账的唯一口径,改这一处两边同源。
+
+注:激励视频(S2S 回调)路径在公式之前还有一道 `if not ecpm_raw` 早退——**完全没上报 eCPM**
+的回调仍记 ecpm_missing 零发(见 test_ad_reward.test_callback_without_ecpm_records_exception),
+那是"回调缺字段"的数据完整性闸,区别于"广告如实上报 eCPM=0"(=看了真广告 → 保底 1)。
 """
 from __future__ import annotations
 
@@ -10,19 +15,23 @@ from app.core.rewards import calculate_ad_reward_coin
 
 
 def test_low_positive_ecpm_floors_to_one_coin() -> None:
-    """真实但极低的 eCPM 原本四舍五入成 0 金币,现在兜底为 1(线上 record 4667 的 43 分场景)。"""
+    """真实但极低的 eCPM 原本四舍五入成 0 金币,兜底为 1(线上 record 4667 的 43 分场景)。"""
     # 43 分 = ¥0.43 CPM,因子1=0.1,重度用户 LT 第 69 条=1.0 → 0.43/1000×0.1×1.0×10000=0.43 → 旧口径 round=0
     assert calculate_ad_reward_coin("43", 69) == 1
     # 更低的 5 分同理:算出来 <0.5,旧口径也是 0
     assert calculate_ad_reward_coin("5", 11) == 1
 
 
-def test_zero_or_missing_ecpm_stays_zero() -> None:
-    """eCPM 缺失 / 为 0 / 非法(没有真实广告价值)不兜底,仍发 0。"""
-    assert calculate_ad_reward_coin("0", 1) == 0
-    assert calculate_ad_reward_coin(None, 1) == 0
-    assert calculate_ad_reward_coin("", 1) == 0
-    assert calculate_ad_reward_coin("abc", 1) == 0
+def test_zero_or_missing_ecpm_also_floors_to_one() -> None:
+    """eCPM 为 0 / 缺失 / 非法都保底 1(2026-08「看了就保底 1」,与前端 FeedRewardFormula 对齐)。
+
+    尤其 "0"(广告如实上报零价值)此前返 0,导致小球显示 +1、后端信息流记 too_short 零发的
+    前后端不一致 —— 现在两端都 1。
+    """
+    assert calculate_ad_reward_coin("0", 1) == 1
+    assert calculate_ad_reward_coin(None, 1) == 1
+    assert calculate_ad_reward_coin("", 1) == 1
+    assert calculate_ad_reward_coin("abc", 1) == 1
 
 
 def test_normal_ecpm_value_unchanged() -> None:
@@ -57,3 +66,31 @@ def test_feed_reward_low_ecpm_grants_one_coin_instead_of_too_short() -> None:
         assert rec.coin == 1
     finally:
         db.close()
+
+
+def test_feed_reward_zero_ecpm_grants_one_coin() -> None:
+    """端到端:eCPM 如实上报 0(用户反馈的真实广告返回 eCPM=0 场景),看满一份也保底 1、
+    状态 granted —— 与前端小球显示的 +1 一致,不再前显示后零发。"""
+    from app.db.session import SessionLocal
+    from app.models.user import User
+    from app.repositories.ad_feed_reward import grant_feed_reward
+
+    db = SessionLocal()
+    try:
+        user = User(phone="19900000044", username="feedzero44", register_channel="sms")
+        db.add(user)
+        db.commit()
+        db.refresh(user)
+
+        rec = grant_feed_reward(
+            db, user.id,
+            client_event_id="feed-zero-ecpm-0001",
+            ecpm="0",                 # 广告如实上报 eCPM=0
+            duration_seconds=15,      # 看满一份
+            ad_type="draw",
+            feed_scene="comparison",
+        )
+        assert rec.status == "granted"
+        assert rec.coin == 1
+    finally:
+        db.close()

tests/test_admin_read.py

@@ -720,6 +720,16 @@ def test_comparison_records_show_readable_device_and_rom_version(
             rom_name="OriginOS",
             rom_version=4,
             android_version="14",
+            platforms=[
+                {
+                    "platform_id": "meituan",
+                    "platform_name": "美团",
+                    "status": "ok",
+                    "role": "target",
+                    "price": 18.8,
+                    "is_best": True,
+                }
+            ],
         )
         db.add(record)
         db.commit()
@@ -747,6 +757,8 @@ def test_comparison_records_show_readable_device_and_rom_version(
     assert detail.status_code == 200, detail.text
     assert detail.json()["device_model_name"] == "vivo Y77e"
     assert detail.json()["rom_version"] == 4
+    assert detail.json()["platforms"][0]["status"] == "ok"
+    assert detail.json()["platforms"][0]["is_best"] is True
 
 
 def test_comparison_records_show_real_order_status(

tests/test_compare_harvest.py

@@ -13,6 +13,7 @@ import uuid
 from unittest.mock import MagicMock, patch
 
 import httpx
+import pytest
 from sqlalchemy import select
 
 from app.db.session import SessionLocal
@@ -25,6 +26,26 @@ def _tid() -> str:
     return uuid.uuid4().hex
 
 
+@pytest.mark.parametrize(
+    ("raw_status", "record_status"),
+    [
+        ("success", "success"),
+        ("below_minimum", "success"),
+        ("failed", "failed"),
+        ("store_closed", "failed"),
+        ("store_not_found", "failed"),
+        ("items_not_found", "failed"),
+        ("no_delivery", "failed"),
+        ("unsupported", "failed"),
+        ("cancelled", "cancelled"),
+        ("running", "running"),
+        (None, None),
+    ],
+)
+def test_record_status_normalization(raw_status, record_status) -> None:
+    assert crud._normalize_record_status(raw_status) == record_status
+
+
 def _done_params() -> dict:
     """一份典型 done 帧 params:美团 25 元 vs 源淘宝闪购 30 元 → 省 5 元、success。"""
     return {
@@ -111,6 +132,116 @@ def test_harvest_done_derives_and_newly_success_once(client) -> None:
         assert newly2 is False
 
 
+def test_harvest_done_below_minimum_counts_as_completed_success(client) -> None:
+    """未达起送是可信业务结论:主状态/完成奖励归 success,细分结局仍留在 raw_payload。"""
+    tid = _tid()
+    done_below_minimum = {
+        "record_status": "below_minimum",
+        "comparison_results": [
+            {
+                "platform_id": "meituan",
+                "platform_name": "美团",
+                "package": "com.sankuai.meituan",
+                "price": 59.0,
+                "is_source": True,
+                "rank": 1,
+                "store_name": "测试店",
+                "items": [{"name": "红乌苏", "qty": 1}],
+            },
+        ],
+        "platform_results": {
+            "meituan": {"is_source": True, "status": "source", "price": 59.0},
+            "taobao_flash": {
+                "is_source": False,
+                "status": "below_minimum",
+                "reason": "购物车未达起送门槛（差 ¥25.2）",
+            },
+        },
+        "information": "淘宝未达起送门槛，可加菜凑单后下单",
+    }
+    with SessionLocal() as db:
+        crud.harvest_running(db, trace_id=tid, user_id=None)
+        rec, newly = crud.harvest_done(
+            db, trace_id=tid, user_id=None, done_params=done_below_minimum
+        )
+
+        assert rec.status == "success"
+        assert newly is True
+        assert rec.fail_reason is None
+        assert rec.raw_payload["record_status"] == "below_minimum"
+        assert (
+            rec.raw_payload["platform_results"]["taobao_flash"]["status"]
+            == "below_minimum"
+        )
+
+
+def test_harvest_done_platforms_below_minimum_counts_as_success(client) -> None:
+    """新 platforms 单源派生路径也必须执行同一 below_minimum → success 归一化。"""
+    tid = _tid()
+    with SessionLocal() as db:
+        rec, newly = crud.harvest_done(
+            db,
+            trace_id=tid,
+            user_id=None,
+            done_params={
+                "record_status": "below_minimum",
+                "platforms": [
+                    {
+                        "role": "source",
+                        "platform_id": "meituan",
+                        "platform_name": "美团",
+                        "price": 59.0,
+                        "store_name": "测试店",
+                        "items": [{"name": "红乌苏", "qty": 1}],
+                    },
+                    {
+                        "role": "target",
+                        "platform_id": "taobao_flash",
+                        "platform_name": "淘宝",
+                        "status": "below_minimum",
+                        "price": None,
+                    },
+                ],
+                "platform_results": {
+                    "taobao_flash": {
+                        "is_source": False,
+                        "status": "below_minimum",
+                        "reason": "购物车未达起送门槛",
+                    }
+                },
+            },
+        )
+
+        assert rec.status == "success"
+        assert newly is True
+        assert rec.raw_payload["record_status"] == "below_minimum"
+
+
+def test_legacy_upsert_below_minimum_counts_as_success(client) -> None:
+    """灰度期客户端直报路径无论走 status 还是 record_status 都不能落第四种主状态。"""
+    tid = _tid()
+    payload = ComparisonRecordIn(
+        trace_id=tid,
+        business_type="food",
+        status="below_minimum",
+        comparison_results=[],
+        platform_results={
+            "taobao_flash": {
+                "is_source": False,
+                "status": "below_minimum",
+                "reason": "购物车未达起送门槛",
+            }
+        },
+        information="淘宝未达起送门槛，可加菜凑单后下单",
+    )
+    with SessionLocal() as db:
+        rec = crud.upsert_record(db, user_id=987654, payload=payload)
+
+        assert rec.status == "success"
+        assert rec.fail_reason is None
+        assert rec.raw_payload["status"] == "below_minimum"
+
+
 def test_harvest_done_failed_derives_fail_reason(client) -> None:
     """failed 记录:记录级 information 笼统,但 fail_reason 从 platform_results 救出具体原因
     (id 3030 型:美团系统失败 + 京东 items_not_found → 展示京东那条)。"""

tests/test_comparison_admin_summary.py

@@ -23,7 +23,7 @@ def test_postgresql_duration_summary_uses_ordered_set_aggregates() -> None:
     )
 
     assert sql.count("percentile_cont") == 4
-    assert "comparison_record.status = 'success'" in sql
+    assert "comparison_record.status IN ('success', 'below_minimum')" in sql
 
 
 def test_summary_uses_only_success_durations_and_filters_beijing_date() -> None:
@@ -34,6 +34,9 @@ def test_summary_uses_only_success_durations_and_filters_beijing_date() -> None:
             ("summary-success-b", "success", 3000, 2.0, 0),
             ("summary-failed", "failed", 100_000, 3.0, 0),
             ("summary-cancelled", "cancelled", 5000, 4.0, 0),
+            ("summary-below-minimum", "below_minimum", 5000, None, 0),
+            ("summary-store-closed", "store_closed", 200_000, None, 0),
+            ("summary-running", "running", 4000, None, 0),
         ]
         for trace_id, status, total_ms, cost, saved in rows:
             db.add(ComparisonRecord(
@@ -56,26 +59,44 @@ def test_summary_uses_only_success_durations_and_filters_beijing_date() -> None:
             db, date_from=date(2038, 1, 15), date_to=date(2038, 1, 15)
         )
 
-        assert summary["started"] == 4
-        assert summary["completed"] == 3
-        assert summary["success"] == 2
-        assert summary["success_rate"] == pytest.approx(2 / 3)
+        assert summary["started"] == 7
+        assert summary["completed"] == 5
+        assert summary["success"] == 3
+        assert summary["success_rate"] == pytest.approx(3 / 6)
         assert summary["avg_token_cost"] == pytest.approx(2.5)
-        assert summary["lower_price_rate"] == 0.5
-        assert summary["avg_duration_ms"] == 2000
-        assert summary["p5_duration_ms"] == 1100
-        assert summary["p50_duration_ms"] == 2000
-        assert summary["p95_duration_ms"] == 2900
-        assert summary["p99_duration_ms"] == 2980
+        assert summary["lower_price_rate"] == pytest.approx(1 / 3)
+        assert summary["avg_duration_ms"] == 3000
+        assert summary["p5_duration_ms"] == 1200
+        assert summary["p50_duration_ms"] == 3000
+        assert summary["p95_duration_ms"] == 4800
+        assert summary["p99_duration_ms"] == 4960
         assert summary["cancelled"] == 1
-        assert summary["cancelled_rate"] == 0.25
+        assert summary["cancelled_rate"] == pytest.approx(1 / 7)
         assert summary["cancelled_p50_ms"] == 5000
 
         items, _next_cursor, total = queries.list_comparison_records(
             db, date_from=date(2038, 1, 15), date_to=date(2038, 1, 15), limit=20
         )
-        assert total == 4
+        assert total == 7
         assert {item.trace_id for item in items} == {row[0] for row in rows}
+
+        success_items, _next_cursor, success_total = queries.list_comparison_records(
+            db, status="success", date_from=date(2038, 1, 15), date_to=date(2038, 1, 15)
+        )
+        assert success_total == 3
+        assert {item.status for item in success_items} == {"success", "below_minimum"}
+
+        failed_items, _next_cursor, failed_total = queries.list_comparison_records(
+            db, status="failed", date_from=date(2038, 1, 15), date_to=date(2038, 1, 15)
+        )
+        assert failed_total == 2
+        assert {item.status for item in failed_items} == {"failed", "store_closed"}
+
+        running_items, _next_cursor, running_total = queries.list_comparison_records(
+            db, status="running", date_from=date(2038, 1, 15), date_to=date(2038, 1, 15)
+        )
+        assert running_total == 1
+        assert running_items[0].status == "running"
     finally:
         db.rollback()
         db.close()

tests/test_comparison_below_minimum_migration.py

@@ -0,0 +1,95 @@
+"""Regression coverage for comparison terminal-status normalization."""
+from __future__ import annotations
+
+import importlib.util
+from pathlib import Path
+
+import sqlalchemy as sa
+from alembic.migration import MigrationContext
+from alembic.operations import Operations
+
+
+def _migration_module():
+    path = (
+        Path(__file__).parents[1]
+        / "alembic"
+        / "versions"
+        / "comparison_below_minimum_as_success.py"
+    )
+    spec = importlib.util.spec_from_file_location(path.stem, path)
+    assert spec is not None and spec.loader is not None
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def test_business_status_migration_upgrade_and_downgrade() -> None:
+    engine = sa.create_engine("sqlite:///:memory:")
+    metadata = sa.MetaData()
+    records = sa.Table(
+        "comparison_record",
+        metadata,
+        sa.Column("id", sa.Integer, primary_key=True),
+        sa.Column("status", sa.String(16), nullable=False),
+        sa.Column("fail_reason", sa.String(256)),
+        sa.Column("raw_payload", sa.JSON, nullable=False),
+    )
+    metadata.create_all(engine)
+    module = _migration_module()
+
+    with engine.begin() as connection:
+        connection.execute(
+            records.insert(),
+            [
+                {
+                    "status": "below_minimum",
+                    "fail_reason": "旧失败原因",
+                    "raw_payload": {"record_status": "below_minimum"},
+                },
+                {
+                    "status": "success",
+                    "fail_reason": None,
+                    "raw_payload": {"record_status": "success"},
+                },
+                {
+                    "status": "failed",
+                    "fail_reason": "技术异常",
+                    "raw_payload": {"status": "failed"},
+                },
+                {
+                    "status": "store_closed",
+                    "fail_reason": "店铺打烊",
+                    "raw_payload": {"record_status": "store_closed"},
+                },
+                {
+                    "status": "items_not_found",
+                    "fail_reason": "商品未找到",
+                    "raw_payload": {"status": "items_not_found"},
+                },
+            ],
+        )
+        module.op = Operations(MigrationContext.configure(connection))
+
+        module.upgrade()
+        upgraded = connection.execute(
+            sa.select(records.c.status, records.c.fail_reason).order_by(records.c.id)
+        ).all()
+        assert upgraded == [
+            ("success", None),
+            ("success", None),
+            ("failed", "技术异常"),
+            ("failed", "店铺打烊"),
+            ("failed", "商品未找到"),
+        ]
+
+        module.downgrade()
+        downgraded = connection.execute(
+            sa.select(records.c.status, records.c.fail_reason).order_by(records.c.id)
+        ).all()
+        assert downgraded == [
+            ("below_minimum", None),
+            ("success", None),
+            ("failed", "技术异常"),
+            ("store_closed", "店铺打烊"),
+            ("items_not_found", "商品未找到"),
+        ]

tests/test_deepseek_price_migration.py

@@ -0,0 +1,184 @@
+from __future__ import annotations
+
+import importlib.util
+from datetime import datetime
+from pathlib import Path
+
+import sqlalchemy as sa
+
+
+def _load_migration():
+    path = (
+        Path(__file__).parents[1]
+        / "alembic"
+        / "versions"
+        / "deepseek_v4_flash_price.py"
+    )
+    spec = importlib.util.spec_from_file_location("deepseek_v4_flash_price", path)
+    assert spec is not None and spec.loader is not None
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def test_migration_follows_comparison_status_normalization():
+    migration = _load_migration()
+
+    assert migration.down_revision == "comparison_below_min_success"
+
+
+def test_migration_adds_price_and_corrects_only_mispriced_snapshot(monkeypatch):
+    migration = _load_migration()
+    engine = sa.create_engine("sqlite://")
+    metadata = sa.MetaData()
+    app_config = sa.Table(
+        "app_config",
+        metadata,
+        sa.Column("key", sa.String(64), primary_key=True),
+        sa.Column("value", sa.JSON, nullable=False),
+        sa.Column("updated_at", sa.DateTime),
+    )
+    comparison = sa.Table(
+        "comparison_record",
+        metadata,
+        sa.Column("id", sa.Integer, primary_key=True),
+        sa.Column("llm_calls", sa.JSON),
+        sa.Column("llm_cost_yuan", sa.Float),
+        sa.Column("llm_price_snapshot", sa.JSON),
+    )
+    metadata.create_all(engine)
+
+    calls = [
+        {
+            "model": "deepseek-v4-flash",
+            "error": None,
+            "usage": {"prompt_tokens": 12031, "completion_tokens": 125},
+        },
+        {
+            "model": "qwen3.5-flash",
+            "error": None,
+            "usage": {"prompt_tokens": 2416, "completion_tokens": 119},
+        },
+    ]
+    snapshot = {
+        "mode": "per_model",
+        "prices": {
+            "deepseek-v4-flash": {
+                "input_per_1m": 3.0,
+                "output_per_1m": 15.0,
+                "_source": "default",
+            },
+            "qwen3.5-flash": {
+                "input_per_1m": 0.2,
+                "output_per_1m": 2.0,
+                "_source": "per_model",
+            },
+        },
+    }
+
+    with engine.begin() as conn:
+        original_updated_at = datetime(2026, 7, 13, 18, 20, 10)
+        conn.execute(
+            app_config.insert().values(
+                key="llm_token_price",
+                value={
+                    "per_model": {
+                        "qwen3.5-flash": {
+                            "input_per_1m": 0.2,
+                            "output_per_1m": 2.0,
+                        }
+                    },
+                    "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
+                },
+                updated_at=original_updated_at,
+            )
+        )
+        conn.execute(
+            comparison.insert().values(
+                id=1,
+                llm_calls=calls,
+                llm_cost_yuan=0.038689,
+                llm_price_snapshot=snapshot,
+            )
+        )
+        monkeypatch.setattr(migration.op, "get_bind", lambda: conn)
+
+        migration.upgrade()
+
+        config = conn.execute(
+            sa.select(app_config.c.value).where(
+                app_config.c.key == "llm_token_price"
+            )
+        ).scalar_one()
+        assert config["per_model"]["deepseek-v4-flash"] == {
+            "input_per_1m": 1.0,
+            "output_per_1m": 2.0,
+        }
+        assert conn.execute(
+            sa.select(app_config.c.updated_at).where(
+                app_config.c.key == "llm_token_price"
+            )
+        ).scalar_one() == original_updated_at
+        corrected = conn.execute(sa.select(comparison)).mappings().one()
+        assert corrected["llm_cost_yuan"] == 0.013002
+        assert corrected["llm_price_snapshot"]["prices"]["deepseek-v4-flash"] == {
+            "input_per_1m": 1.0,
+            "output_per_1m": 2.0,
+            "_source": "per_model",
+        }
+        assert corrected["llm_price_snapshot"]["pricing_correction"] == (
+            "deepseek_v4_flash_price"
+        )
+
+        migration.downgrade()
+
+        reverted_config = conn.execute(
+            sa.select(app_config.c.value).where(
+                app_config.c.key == "llm_token_price"
+            )
+        ).scalar_one()
+        assert "deepseek-v4-flash" not in reverted_config["per_model"]
+        reverted = conn.execute(sa.select(comparison)).mappings().one()
+        assert reverted["llm_cost_yuan"] == 0.038689
+        assert "pricing_correction" not in reverted["llm_price_snapshot"]
+
+
+def test_downgrade_preserves_price_that_existed_before_upgrade(monkeypatch):
+    migration = _load_migration()
+    engine = sa.create_engine("sqlite://")
+    metadata = sa.MetaData()
+    app_config = sa.Table(
+        "app_config",
+        metadata,
+        sa.Column("key", sa.String(64), primary_key=True),
+        sa.Column("value", sa.JSON, nullable=False),
+        sa.Column("updated_at", sa.DateTime),
+    )
+    sa.Table(
+        "comparison_record",
+        metadata,
+        sa.Column("id", sa.Integer, primary_key=True),
+        sa.Column("llm_calls", sa.JSON),
+        sa.Column("llm_cost_yuan", sa.Float),
+        sa.Column("llm_price_snapshot", sa.JSON),
+    )
+    metadata.create_all(engine)
+
+    explicit_price = {"input_per_1m": 1.0, "output_per_1m": 2.0}
+    with engine.begin() as conn:
+        conn.execute(
+            app_config.insert().values(
+                key="llm_token_price",
+                value={
+                    "per_model": {"deepseek-v4-flash": explicit_price},
+                    "default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
+                },
+            )
+        )
+        monkeypatch.setattr(migration.op, "get_bind", lambda: conn)
+
+        migration.upgrade()
+        migration.downgrade()
+
+        config = conn.execute(sa.select(app_config.c.value)).scalar_one()
+        assert config["per_model"]["deepseek-v4-flash"] == explicit_price

tests/test_llm_cost.py

@@ -108,6 +108,10 @@ def test_get_llm_prices_falls_back_to_default_then_uses_override():
         # 无 override → CONFIG_DEFS 默认(含 per_model / default)
         prices = get_llm_prices(db)
         assert "per_model" in prices and "default" in prices
+        assert prices["per_model"]["deepseek-v4-flash"] == {
+            "input_per_1m": 1.0,
+            "output_per_1m": 2.0,
+        }
         # 有 override → 用 DB 值
         app_config.set_value(
             db, "llm_token_price",

tests/test_ops_marquee.py

@@ -0,0 +1,77 @@
+from __future__ import annotations
+
+from app.core.config import settings
+from app.db.session import SessionLocal
+from app.models.comparison import ComparisonRecord
+from app.models.user import User
+from app.repositories import ops_marquee
+
+
+def _clear_real_rows_cache() -> None:
+    ops_marquee._real_rows_cache.update(at=None, rows=None, test_phones=None)
+
+
+def test_real_marquee_records_exclude_configured_test_account(monkeypatch) -> None:
+    legacy_test_phone = "19900009991"
+    listed_test_phone = "19900009992"
+    real_phone = "19900009993"
+    monkeypatch.setattr(settings, "TEST_ACCOUNT_PHONE", legacy_test_phone)
+    monkeypatch.setattr(settings, "TEST_ACCOUNT_PHONES", listed_test_phone)
+    _clear_real_rows_cache()
+
+    try:
+        with SessionLocal() as db:
+            legacy_test_user = User(
+                phone=legacy_test_phone,
+                username="29900009991",
+                register_channel="sms",
+            )
+            listed_test_user = User(
+                phone=listed_test_phone,
+                username="29900009992",
+                register_channel="sms",
+            )
+            real_user = User(
+                phone=real_phone,
+                username="29900009993",
+                register_channel="sms",
+            )
+            db.add_all([legacy_test_user, listed_test_user, real_user])
+            db.flush()
+            db.add_all([
+                ComparisonRecord(
+                    user_id=legacy_test_user.id,
+                    trace_id="marquee-legacy-test-account-trace",
+                    status="success",
+                    saved_amount_cents=29_991,
+                    items=[],
+                    comparison_results=[],
+                ),
+                ComparisonRecord(
+                    user_id=listed_test_user.id,
+                    trace_id="marquee-listed-test-account-trace",
+                    status="success",
+                    saved_amount_cents=29_992,
+                    items=[],
+                    comparison_results=[],
+                ),
+                ComparisonRecord(
+                    user_id=real_user.id,
+                    trace_id="marquee-real-account-trace",
+                    status="success",
+                    saved_amount_cents=29_993,
+                    items=[],
+                    comparison_results=[],
+                ),
+            ])
+            db.flush()
+
+            app_rows = ops_marquee._recent_real_rows(db)
+            browse_rows, _ = ops_marquee.list_real_records(db, mode="real", limit=1_000)
+    finally:
+        _clear_real_rows_cache()
+
+    assert all(saved not in {29_991, 29_992} for _uid, saved, _nickname in app_rows)
+    assert any(saved == 29_993 for _uid, saved, _nickname in app_rows)
+    assert all(row["saved_amount_cents"] not in {29_991, 29_992} for row in browse_rows)
+    assert any(row["saved_amount_cents"] == 29_993 for row in browse_rows)