feat(device): 新增设备信息表 device + 上报接口

- 新建 device 设备表(设备/系统信息 + 网络/时区/模拟器/位置 + 关联用户 + 状态/时间戳),
  以客户端 device_id 唯一标识;登录后回填 user_id,游客态可空
- 原 device 模型改名 device_liveness(实为无障碍存活表),腾出 device 名给新表并保持
  表名与实体名一致;同步更新 __init__ / repositories / admin queries / 文档引用
- 新增 POST /api/v1/device/report:软鉴权(带 JWT 绑用户、游客也收),按 device_id upsert;
  设备信息非空才覆盖,位置 latitude/longitude 整字段覆盖含清空(以本次上报实际为准)
- 新增 alembic migration bb47051068c8 建 device 表(裁掉 autogenerate 带出的无关表漂移)
- 补 /device/report 端点与 upsert 单元测试 4 例

alembic/versions/bb47051068c8_device_table.py

@@ -0,0 +1,59 @@
+"""device table(设备档案 / 终端注册)
+
+Revision ID: bb47051068c8
+Revises: comparison_llm_cost
+Create Date: 2026-07-16 14:22:17.770307
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = 'bb47051068c8'
+down_revision: Union[str, Sequence[str], None] = 'comparison_llm_cost'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        'device',
+        sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
+        sa.Column('device_id', sa.String(length=128), nullable=False),
+        sa.Column('user_id', sa.Integer(), nullable=True),
+        sa.Column('platform', sa.String(length=16), nullable=False),
+        sa.Column('oem', sa.String(length=32), nullable=True),
+        sa.Column('model', sa.String(length=64), nullable=True),
+        sa.Column('os_version', sa.String(length=32), nullable=True),
+        sa.Column('app_version', sa.String(length=32), nullable=True),
+        sa.Column('channel', sa.String(length=32), nullable=True),
+        sa.Column('screen', sa.String(length=32), nullable=True),
+        sa.Column('network', sa.String(length=16), nullable=True),
+        sa.Column('timezone', sa.String(length=64), nullable=True),
+        sa.Column('is_emulator', sa.Boolean(), nullable=True),
+        sa.Column('latitude', sa.Float(), nullable=True),
+        sa.Column('longitude', sa.Float(), nullable=True),
+        sa.Column('last_ip', sa.String(length=64), nullable=True),
+        sa.Column('status', sa.String(length=16), nullable=False),
+        sa.Column('last_active_at', sa.DateTime(timezone=True), nullable=True),
+        sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
+        sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
+        sa.ForeignKeyConstraint(['user_id'], ['user.id'], ),
+        sa.PrimaryKeyConstraint('id'),
+    )
+    with op.batch_alter_table('device', schema=None) as batch_op:
+        batch_op.create_index(batch_op.f('ix_device_device_id'), ['device_id'], unique=True)
+        batch_op.create_index(batch_op.f('ix_device_last_active_at'), ['last_active_at'], unique=False)
+        batch_op.create_index(batch_op.f('ix_device_user_id'), ['user_id'], unique=False)
+
+
+def downgrade() -> None:
+    with op.batch_alter_table('device', schema=None) as batch_op:
+        batch_op.drop_index(batch_op.f('ix_device_user_id'))
+        batch_op.drop_index(batch_op.f('ix_device_last_active_at'))
+        batch_op.drop_index(batch_op.f('ix_device_device_id'))
+
+    op.drop_table('device')

alembic/versions/comparison_llm_cost.py

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

app/admin/repositories/queries.py

@@ -20,7 +20,7 @@ from app.models.admin import AdminAuditLog
 from app.models.analytics_event import AnalyticsEvent
 from app.models.comparison import ComparisonRecord
 from app.models.coupon_state import CouponPromptEngagement
-from app.models.device import DeviceLiveness
+from app.models.device_liveness import DeviceLiveness
 from app.models.feedback import Feedback
 from app.models.onboarding import OnboardingCompletion
 from app.models.price_report import PriceReport

app/admin/schemas/comparison.py

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

app/api/v1/compare_record.py

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

app/api/v1/device_profile.py

@@ -0,0 +1,51 @@
+"""设备档案上报 endpoint(device 表)。
+
+POST /api/v1/device/report — 客户端上报设备当前信息,按 device_id upsert 到 device 表。
+软鉴权:带合法 Bearer → 设备关联到该用户;游客态(无 token)也接受,user_id 暂空。
+
+注意与 /api/v1/device/register(app/api/v1/device.py)区分:那个是无障碍存活注册,写
+device_liveness 表、硬鉴权;本端点是设备信息档案,写 device 表、软鉴权。
+"""
+from __future__ import annotations
+
+import logging
+
+from fastapi import APIRouter, Request
+
+from app.api.deps import DbSession, OptionalUser
+from app.repositories import device_profile as device_profile_repo
+from app.schemas.device_profile import DeviceReportOut, DeviceReportRequest
+
+logger = logging.getLogger("shagua.device_profile")
+
+router = APIRouter(prefix="/api/v1/device", tags=["device"])
+
+
+def _client_ip(request: Request) -> str | None:
+    """客户端 IP:生产经 nginx 反代优先 X-Forwarded-For 第一段,否则直连 IP。"""
+    xff = request.headers.get("x-forwarded-for")
+    if xff:
+        return xff.split(",")[0].strip()
+    return request.client.host if request.client else None
+
+
+@router.post("/report", response_model=DeviceReportOut, summary="上报设备信息(设备档案 upsert)")
+def report_device(
+    req: DeviceReportRequest,
+    request: Request,
+    user: OptionalUser,
+    db: DbSession,
+) -> DeviceReportOut:
+    device = device_profile_repo.upsert_device(
+        db,
+        req,
+        user_id=user.id if user else None,
+        last_ip=_client_ip(request),
+    )
+    logger.info(
+        "device report device_id=%s user_id=%s has_loc=%s",
+        req.device_id,
+        device.user_id,
+        req.latitude is not None,
+    )
+    return DeviceReportOut()

app/core/config_schema.py

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

app/main.py

@@ -28,6 +28,7 @@ from app.api.v1.compare_record import router as compare_record_router
 from app.api.v1.coupon import router as coupon_router
 from app.api.v1.cps_redirect import router as cps_redirect_router
 from app.api.v1.device import router as device_router
+from app.api.v1.device_profile import router as device_profile_router
 from app.api.v1.feedback import router as feedback_router
 from app.api.v1.invite import router as invite_router
 from app.api.v1.meituan import router as meituan_router
@@ -120,6 +121,7 @@ app.include_router(analytics_router)
 app.include_router(invite_router)
 app.include_router(coupon_router)
 app.include_router(device_router)
+app.include_router(device_profile_router)
 app.include_router(compare_router)
 app.include_router(compare_record_router)
 app.include_router(compare_milestone_router)

app/models/__init__.py

@@ -19,7 +19,8 @@ from app.models.cps_link import CpsClick, CpsLink  # noqa: F401
 from app.models.cps_order import CpsOrder  # noqa: F401
 from app.models.cps_wx_user import CpsWxUser  # noqa: F401
 from app.models.comparison_milestone import ComparisonMilestoneClaim  # noqa: F401
-from app.models.device import DeviceLiveness  # noqa: F401
+from app.models.device import Device  # noqa: F401
+from app.models.device_liveness import DeviceLiveness  # noqa: F401
 from app.models.coupon_state import (  # noqa: F401
     CouponClaimRecord,
     CouponDailyCompletion,

app/models/comparison.py

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

app/models/device.py

@@ -1,83 +1,71 @@
-"""设备表(无障碍保护存活检测 + 极光推送)。
+"""设备表(设备档案 / 终端注册)。
 
-每条 = 一个用户的一台设备(per-install,device_id 由客户端 DeviceId.get() 生成)。
-客户端的无障碍服务存活时周期上报心跳刷新 last_heartbeat_at;App 前台/登录时上报
-registration_id(极光推送目标)。后端 heartbeat_monitor_worker 扫描「曾经保护过、
-现在心跳超时」的设备,通过极光推送提醒用户重开无障碍。
+每条 = 一台设备,以客户端生成的 device_id 唯一标识(格式 device_<MODEL>_<8hex>,
+per-install;见 pricebot 客户端 PriceBotService.getOrCreateDeviceId)。登录前(游客态)
+即可建档,登录后回填 user_id ——单表只记「最近一个」登录用户,不保留一机多号历史。
 
-liveness_state 状态机(防刷屏,一次掉线只推一条):
-  unknown → alive(收到 service 心跳)→ silent/notified(扫描发现超时并已推送)
-  心跳恢复时 handler 重置回 alive。
-见 spec: spec/accessibility-liveness-push.md。
+字段采集来源(逐列见注释):
+  已在埋点 analytics_event 采集     : oem / os_version / model / app_version / channel / network
+  服务端补                          : last_ip(X-Forwarded-For)、last_active_at
+  客户端需「新增」上报(无需权限)   : timezone、is_emulator
+  客户端需「新增」上报 + 定位权限 + 隐私合规(PIPL 敏感信息): latitude / longitude
+
+与 device_liveness(无障碍存活/极光推送,见 device_liveness.py)是两张相互独立的表,
+靠同一个 device_id 关联,不要合并。
 """
 from __future__ import annotations
 
 from datetime import datetime
 
-from sqlalchemy import (
-    Boolean,
-    DateTime,
-    ForeignKey,
-    Integer,
-    String,
-    UniqueConstraint,
-    func,
-)
+from sqlalchemy import Boolean, DateTime, Float, ForeignKey, Integer, String, func
 from sqlalchemy.orm import Mapped, mapped_column
 
 from app.db.base import Base
 
 
-class DeviceLiveness(Base):
-    # 表名不叫 device:device 易被当成「设备信息(品牌/型号/系统)」表;本表实为**无障碍存活监控状态**
-    # (心跳 last_heartbeat_at + liveness_state + kill_alert_pending + 推送目标 registration_id),故名 device_liveness。
-    __tablename__ = "device_liveness"
-    __table_args__ = (
-        UniqueConstraint("user_id", "device_id", name="uq_device_liveness_user_device"),
-    )
+class Device(Base):
+    __tablename__ = "device"
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
-    user_id: Mapped[int] = mapped_column(
-        Integer, ForeignKey("user.id"), index=True, nullable=False
-    )
-    # 客户端 DeviceId.get() 生成的 per-install id(如 device_Pixel_ab12cd34)
-    device_id: Mapped[str] = mapped_column(String(128), index=True, nullable=False)
-    # 极光推送 registration id;拿到才填(JCollectionAuth 同意后才下发)
-    registration_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
-    platform: Mapped[str] = mapped_column(String(16), nullable=False, default="android")
-    app_version: Mapped[str | None] = mapped_column(String(32), nullable=True)
 
-    # 收到过 service 心跳即 true(=该设备开过无障碍,功能对它有意义)
-    ever_protected: Mapped[bool] = mapped_column(
-        Boolean, nullable=False, default=False
+    # 客户端生成的设备唯一 ID(全局唯一);与 analytics_event / device_liveness 用同一个值
+    device_id: Mapped[str] = mapped_column(
+        String(128), unique=True, index=True, nullable=False
     )
-    # 首次开无障碍(首次收到 accessibility_enabled 心跳)的时刻;ever_protected 第一次翻 true 时记一次,
-    # 后续心跳不覆盖。老设备(迁移前已 protected)无此值 → NULL。
-    first_protected_at: Mapped[datetime | None] = mapped_column(
-        DateTime(timezone=True), nullable=True
+    # 关联用户:登录后回填「最近一次登录」的 user;游客态为空(可空 → 不阻塞未登录建档)
+    user_id: Mapped[int | None] = mapped_column(
+        Integer, ForeignKey("user.id"), index=True, nullable=True
     )
-    # 最近一次 service 心跳时间(存活证明);超时即视为保护掉线
-    last_heartbeat_at: Mapped[datetime | None] = mapped_column(
+
+    # ---- 设备 / 系统信息(埋点已采集,注册/上报接口带过来即可) ----
+    platform: Mapped[str] = mapped_column(String(16), nullable=False, default="android")  # android/ios/harmony
+    oem: Mapped[str | None] = mapped_column(String(32), nullable=True)          # 厂商 Build.MANUFACTURER:xiaomi/huawei…
+    model: Mapped[str | None] = mapped_column(String(64), nullable=True)        # 型号 Build.MODEL,如 PJF110
+    os_version: Mapped[str | None] = mapped_column(String(32), nullable=True)   # 系统版本,如 "Android 13"
+    app_version: Mapped[str | None] = mapped_column(String(32), nullable=True)  # app 版本
+    channel: Mapped[str | None] = mapped_column(String(32), nullable=True)      # 安装渠道(应用市场)
+    screen: Mapped[str | None] = mapped_column(String(32), nullable=True)       # 分辨率 "1080x2400"
+    network: Mapped[str | None] = mapped_column(String(16), nullable=True)      # 最近网络类型 wifi/4g/5g
+
+    # ---- 需客户端「新增」上报的字段 ----
+    # 设备时区 TimeZone.getDefault().id,如 "Asia/Shanghai"(客户端需新增上报,无需权限)
+    timezone: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    # 是否模拟器(客户端 Build 指纹判断后上报;NULL=未知,无需权限)
+    is_emulator: Mapped[bool | None] = mapped_column(Boolean, nullable=True)
+    # 位置(经纬度):App 会申请定位权限,但可能拿不到(首次运行未授权 / 用户拒绝 / 关了 GPS)。
+    # 规则(leader 定):每次上报以实际为准——能拿到就写,拿不到就置 NULL 清空旧值。
+    # ⚠️ upsert 时 lat/lng 必须「整字段覆盖(含 None)」,不能像 model/oem 那样 COALESCE 保留旧值,
+    #    否则会留下一条早已离开该位置的陈旧坐标。
+    latitude: Mapped[float | None] = mapped_column(Float, nullable=True)
+    longitude: Mapped[float | None] = mapped_column(Float, nullable=True)
+
+    # ---- 上下文 / 状态(服务端维护) ----
+    last_ip: Mapped[str | None] = mapped_column(String(64), nullable=True)      # 最近一次上报 IP(服务端从 X-Forwarded-For 取)
+    status: Mapped[str] = mapped_column(String(16), nullable=False, default="normal")  # normal/banned(风控封设备)
+    # 最近活跃时间(设备维度 DAU / 留存统计用;updated_at 只在字段真变化时跳,故单列一个)
+    last_active_at: Mapped[datetime | None] = mapped_column(
         DateTime(timezone=True), index=True, nullable=True
     )
-    # 最近一次上报的无障碍开关状态(观测用)
-    last_report_protection_on: Mapped[bool] = mapped_column(
-        Boolean, nullable=False, default=False
-    )
-    # unknown / alive / silent / notified
-    liveness_state: Mapped[str] = mapped_column(
-        String(16), nullable=False, default="unknown"
-    )
-    # 最近一次推送告警时间
-    notified_at: Mapped[datetime | None] = mapped_column(
-        DateTime(timezone=True), nullable=True
-    )
-    # 掉线告警「待客户端提醒」标记(后置检测 pull 版, 见 spec accessibility-liveness-pull-prompt.md)。
-    # 与 liveness_state 解耦: worker 检出掉线即置 True; touch_heartbeat(心跳恢复)不动它
-    # → 规避「服务随 App 重启先发心跳、state 被重置回 alive → 客户端进 App 漏看」竞态; 只由客户端 ack 清。
-    kill_alert_pending: Mapped[bool] = mapped_column(
-        Boolean, nullable=False, default=False
-    )
 
     created_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), server_default=func.now(), nullable=False
@@ -90,7 +78,4 @@ class DeviceLiveness(Base):
     )
 
     def __repr__(self) -> str:  # pragma: no cover
-        return (
-            f"<DeviceLiveness id={self.id} user_id={self.user_id} "
-            f"device_id={self.device_id} state={self.liveness_state}>"
-        )
+        return f"<Device id={self.id} device_id={self.device_id} user_id={self.user_id}>"

app/models/device_liveness.py

@@ -0,0 +1,96 @@
+"""设备表(无障碍保护存活检测 + 极光推送)。
+
+每条 = 一个用户的一台设备(per-install,device_id 由客户端 DeviceId.get() 生成)。
+客户端的无障碍服务存活时周期上报心跳刷新 last_heartbeat_at;App 前台/登录时上报
+registration_id(极光推送目标)。后端 heartbeat_monitor_worker 扫描「曾经保护过、
+现在心跳超时」的设备,通过极光推送提醒用户重开无障碍。
+
+liveness_state 状态机(防刷屏,一次掉线只推一条):
+  unknown → alive(收到 service 心跳)→ silent/notified(扫描发现超时并已推送)
+  心跳恢复时 handler 重置回 alive。
+见 spec: spec/accessibility-liveness-push.md。
+"""
+from __future__ import annotations
+
+from datetime import datetime
+
+from sqlalchemy import (
+    Boolean,
+    DateTime,
+    ForeignKey,
+    Integer,
+    String,
+    UniqueConstraint,
+    func,
+)
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.db.base import Base
+
+
+class DeviceLiveness(Base):
+    # 表名不叫 device:device 易被当成「设备信息(品牌/型号/系统)」表;本表实为**无障碍存活监控状态**
+    # (心跳 last_heartbeat_at + liveness_state + kill_alert_pending + 推送目标 registration_id),故名 device_liveness。
+    __tablename__ = "device_liveness"
+    __table_args__ = (
+        UniqueConstraint("user_id", "device_id", name="uq_device_liveness_user_device"),
+    )
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
+    user_id: Mapped[int] = mapped_column(
+        Integer, ForeignKey("user.id"), index=True, nullable=False
+    )
+    # 客户端 DeviceId.get() 生成的 per-install id(如 device_Pixel_ab12cd34)
+    device_id: Mapped[str] = mapped_column(String(128), index=True, nullable=False)
+    # 极光推送 registration id;拿到才填(JCollectionAuth 同意后才下发)
+    registration_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
+    platform: Mapped[str] = mapped_column(String(16), nullable=False, default="android")
+    app_version: Mapped[str | None] = mapped_column(String(32), nullable=True)
+
+    # 收到过 service 心跳即 true(=该设备开过无障碍,功能对它有意义)
+    ever_protected: Mapped[bool] = mapped_column(
+        Boolean, nullable=False, default=False
+    )
+    # 首次开无障碍(首次收到 accessibility_enabled 心跳)的时刻;ever_protected 第一次翻 true 时记一次,
+    # 后续心跳不覆盖。老设备(迁移前已 protected)无此值 → NULL。
+    first_protected_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+    # 最近一次 service 心跳时间(存活证明);超时即视为保护掉线
+    last_heartbeat_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), index=True, nullable=True
+    )
+    # 最近一次上报的无障碍开关状态(观测用)
+    last_report_protection_on: Mapped[bool] = mapped_column(
+        Boolean, nullable=False, default=False
+    )
+    # unknown / alive / silent / notified
+    liveness_state: Mapped[str] = mapped_column(
+        String(16), nullable=False, default="unknown"
+    )
+    # 最近一次推送告警时间
+    notified_at: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True
+    )
+    # 掉线告警「待客户端提醒」标记(后置检测 pull 版, 见 spec accessibility-liveness-pull-prompt.md)。
+    # 与 liveness_state 解耦: worker 检出掉线即置 True; touch_heartbeat(心跳恢复)不动它
+    # → 规避「服务随 App 重启先发心跳、state 被重置回 alive → 客户端进 App 漏看」竞态; 只由客户端 ack 清。
+    kill_alert_pending: Mapped[bool] = mapped_column(
+        Boolean, nullable=False, default=False
+    )
+
+    created_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), nullable=False
+    )
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True),
+        server_default=func.now(),
+        onupdate=func.now(),
+        nullable=False,
+    )
+
+    def __repr__(self) -> str:  # pragma: no cover
+        return (
+            f"<DeviceLiveness id={self.id} user_id={self.user_id} "
+            f"device_id={self.device_id} state={self.liveness_state}>"
+        )

app/repositories/device.py

@@ -6,7 +6,7 @@ from datetime import datetime, timedelta, timezone
 from sqlalchemy import select
 from sqlalchemy.orm import Session
 
-from app.models.device import DeviceLiveness
+from app.models.device_liveness import DeviceLiveness
 
 
 def _get(db: Session, *, user_id: int, device_id: str) -> DeviceLiveness | None:

app/repositories/device_profile.py

@@ -0,0 +1,66 @@
+"""device 表(设备档案)读写:按 device_id upsert。
+
+与 repositories/device.py(无障碍存活 DeviceLiveness)是不同的表:本文件写 device 表。
+"""
+from __future__ import annotations
+
+from datetime import datetime, timezone
+
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+from app.models.device import Device
+from app.schemas.device_profile import DeviceReportRequest
+
+# 设备/系统信息:提供了(非 None)才覆盖,某次上报漏带不会把已有值冲掉
+_STICKY_STR_FIELDS = ("oem", "model", "os_version", "app_version", "channel", "screen", "network", "timezone")
+
+
+def upsert_device(
+    db: Session,
+    req: DeviceReportRequest,
+    *,
+    user_id: int | None,
+    last_ip: str | None,
+) -> Device:
+    """按 device_id upsert 一台设备的档案。
+
+    写入策略分三类:
+      - 设备/系统信息(_STICKY_STR_FIELDS + platform + is_emulator):非空才覆盖(sticky)。
+      - 位置 latitude/longitude:**整字段覆盖,含 None**——以本次上报实际为准,拿不到即清空
+        (leader 规则,见 model Device.latitude 注释;不能像上面那样 sticky)。
+      - user_id:仅登录态(user_id 非 None)回填为当前登录用户;游客态保留已有关联,不清空。
+    last_active_at / last_ip 每次刷新。
+    """
+    now = datetime.now(timezone.utc)
+    device = db.execute(
+        select(Device).where(Device.device_id == req.device_id)
+    ).scalar_one_or_none()
+    if device is None:
+        device = Device(device_id=req.device_id)
+        db.add(device)
+
+    # 设备/系统信息:非空才覆盖
+    if req.platform:
+        device.platform = req.platform
+    for field in _STICKY_STR_FIELDS:
+        val = getattr(req, field)
+        if val is not None:
+            setattr(device, field, val)
+    if req.is_emulator is not None:
+        device.is_emulator = req.is_emulator
+
+    # 位置:整字段覆盖(含 None),以本次实际为准
+    device.latitude = req.latitude
+    device.longitude = req.longitude
+
+    # 关联用户:仅登录态回填,游客态不动
+    if user_id is not None:
+        device.user_id = user_id
+
+    device.last_ip = last_ip
+    device.last_active_at = now
+
+    db.commit()
+    db.refresh(device)
+    return device

app/schemas/device_profile.py

@@ -0,0 +1,35 @@
+"""设备档案上报 schema(device 表)。
+
+与 schemas/device.py(无障碍存活 DeviceLiveness 的 register/heartbeat)是不同用途:
+本文件对应 device 表(设备信息/档案),schemas/device.py 对应 device_liveness 表。
+"""
+from __future__ import annotations
+
+from pydantic import BaseModel, Field
+
+
+class DeviceReportRequest(BaseModel):
+    """客户端上报的一台设备的当前信息(每次以实际为准)。"""
+
+    device_id: str = Field(max_length=128)
+    platform: str = Field(default="android", max_length=16)
+
+    # 设备 / 系统信息:提供了才覆盖(见 repo:非空 sticky)
+    oem: str | None = Field(default=None, max_length=32)
+    model: str | None = Field(default=None, max_length=64)
+    os_version: str | None = Field(default=None, max_length=32)
+    app_version: str | None = Field(default=None, max_length=32)
+    channel: str | None = Field(default=None, max_length=32)
+    screen: str | None = Field(default=None, max_length=32)
+    network: str | None = Field(default=None, max_length=16)
+    timezone: str | None = Field(default=None, max_length=64)
+    is_emulator: bool | None = None
+
+    # 位置:客户端每次带「本次实际」的经纬度,拿不到就传 null(或不传)→ 服务端清空。
+    # 见 model Device.latitude 注释:这两个字段整字段覆盖,不做 sticky。
+    latitude: float | None = None
+    longitude: float | None = None
+
+
+class DeviceReportOut(BaseModel):
+    ok: bool = True

app/services/llm_cost.py

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

docs/database/comparison_record.md

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

docs/database/device_liveness.md

@@ -1,6 +1,6 @@
 # device_liveness — 无障碍存活监控(心跳 + 掉线召回)
 
-> 模型 `app/models/device.py`(`DeviceLiveness`) · 仓库 `app/repositories/device.py`(`register_or_update` / `touch_heartbeat` / `list_overdue` / `mark_notified` / `get_device` / `ack_kill_alert`) · 接口 用户 `POST /api/v1/device/register`、`POST /api/v1/device/heartbeat`、`GET /api/v1/device/liveness`、`POST /api/v1/device/liveness/ack`(`app/api/v1/device.py`);后台 worker `heartbeat_monitor_worker` · [← 索引](./README.md) · [总览](./OVERVIEW.md)
+> 模型 `app/models/device_liveness.py`(`DeviceLiveness`) · 仓库 `app/repositories/device.py`(`register_or_update` / `touch_heartbeat` / `list_overdue` / `mark_notified` / `get_device` / `ack_kill_alert`) · 接口 用户 `POST /api/v1/device/register`、`POST /api/v1/device/heartbeat`、`GET /api/v1/device/liveness`、`POST /api/v1/device/liveness/ack`(`app/api/v1/device.py`);后台 worker `heartbeat_monitor_worker` · [← 索引](./README.md) · [总览](./OVERVIEW.md)
 
 每行 = 一个用户的一台设备(per-install,`(user_id, device_id)` 唯一)。客户端无障碍服务存活时周期上报心跳刷新 `last_heartbeat_at`;App 前台/登录拿到极光 push token 时上报 `registration_id`。后端 `heartbeat_monitor_worker` 扫「曾保护过、现已心跳超时」的设备,推送(或本期仅终端打印)提醒用户重开无障碍。**表名不叫 `device`**:它存的不是设备信息(品牌/型号),而是**无障碍存活状态**。#65 新增。
 

scripts/seed_mock_llm_cost.py

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

tests/test_device_profile.py

@@ -0,0 +1,98 @@
+"""设备档案上报端点 /api/v1/device/report + upsert 测试。"""
+from __future__ import annotations
+
+from sqlalchemy import select
+
+from app.core.security import create_token
+from app.db.session import SessionLocal
+from app.models.device import Device
+from app.models.user import User
+
+
+def _payload(**over) -> dict:
+    base = {
+        "device_id": "dev-report-1",
+        "platform": "android",
+        "oem": "Xiaomi",
+        "model": "PJF110",
+        "os_version": "Android 14",
+        "app_version": "0.2.12(62)",
+        "channel": "yingyongbao",
+        "screen": "1080x2400",
+        "network": "wifi",
+        "timezone": "Asia/Shanghai",
+        "is_emulator": False,
+        "latitude": 31.23,
+        "longitude": 121.47,
+    }
+    base.update(over)
+    return base
+
+
+def _get(device_id: str) -> Device | None:
+    with SessionLocal() as db:
+        return db.execute(
+            select(Device).where(Device.device_id == device_id)
+        ).scalar_one_or_none()
+
+
+def test_report_creates_device_as_guest(client) -> None:
+    r = client.post("/api/v1/device/report", json=_payload(device_id="dev-guest"))
+    assert r.status_code == 200, r.text
+    assert r.json()["ok"] is True
+    d = _get("dev-guest")
+    assert d is not None
+    assert d.user_id is None  # 游客态:未绑用户
+    assert d.oem == "Xiaomi"
+    assert d.is_emulator is False
+    assert d.latitude == 31.23
+    assert d.last_active_at is not None
+
+
+def test_report_binds_user_when_authed(client) -> None:
+    with SessionLocal() as db:
+        u = User(phone="13800000001", username="20000000001")
+        db.add(u)
+        db.commit()
+        uid = u.id
+    token, _ = create_token(user_id=uid, token_type="access")
+    r = client.post(
+        "/api/v1/device/report",
+        json=_payload(device_id="dev-user"),
+        headers={"Authorization": f"Bearer {token}"},
+    )
+    assert r.status_code == 200, r.text
+    assert _get("dev-user").user_id == uid
+
+
+def test_report_clears_location_when_absent(client) -> None:
+    # 首次带位置
+    client.post(
+        "/api/v1/device/report",
+        json=_payload(device_id="dev-loc", latitude=10.0, longitude=20.0),
+    )
+    assert _get("dev-loc").latitude == 10.0
+    # 再次上报拿不到位置(lat/lng=None)→ 必须清空,不能保留旧坐标
+    r = client.post(
+        "/api/v1/device/report",
+        json=_payload(device_id="dev-loc", latitude=None, longitude=None, oem="HONOR"),
+    )
+    assert r.status_code == 200, r.text
+    d = _get("dev-loc")
+    assert d.latitude is None  # 位置以实际为准 → 清空
+    assert d.longitude is None
+    assert d.oem == "HONOR"  # 设备信息正常更新
+
+
+def test_report_sticky_fields_not_wiped_by_missing(client) -> None:
+    # 首次全量
+    client.post("/api/v1/device/report", json=_payload(device_id="dev-sticky"))
+    # 再次只带 device_id + 位置(不带 oem/model)→ 设备信息保留旧值(非空才覆盖)
+    client.post(
+        "/api/v1/device/report",
+        json={"device_id": "dev-sticky", "latitude": 1.0, "longitude": 2.0},
+    )
+    d = _get("dev-sticky")
+    assert d.oem == "Xiaomi"  # 未被漏带的 None 冲掉
+    assert d.model == "PJF110"
+    assert d.latitude == 1.0  # 位置按本次

tests/test_llm_cost.py

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