#322 P2 方案A 全线: 10 张 public 干净视图 + analytics 全改读, C2 基线清零

- 新增迁移 c3d4e5f6a7b8: 批量建 bms_order_clean/device_combo_clean/card_complaint_clean/
  external_complaint_clean/cs_record_clean/wallet_withdrawal_clean/device_flow_usage_clean/
  manual_refund_clean/refund_record_report_clean/shanmao_refund_clean 共 10 张薄视图,
  逐列取自 ods 源表(口径逐字不变, 不做任何加工), 仅排除内部溯源列 synced_at/raw_extra/updated_by_raw
- 新增 app/models/ods_clean.py: CLEAN_VIEWS 作为单一列清单来源 + 11 个只读模型
  (RefundClean 从 refund.py 迁入); 迁移与 conftest 视图重建共用同一来源, 消除双份定义漂移
- analytics 14 文件: ORM 模型类与裸 SQL 表名全部由 ods 改读 *_clean 视图
- 手动退款质检写路径移出 analytics → app/services/quality/manual_refund_review.py
  (读走 ManualRefundClean; 确认/修正写走 ods 基表 ManualRefund, 视图不可写);
  analytics 门面继续导出原 4 个函数, 路由零改动
- tests/conftest.py: refund_clean 专用拆表重建 → 按 CLEAN_VIEWS 通用循环
- C2 棘轮基线 64 → 0(scripts/analytics_ods_isolation_baseline.txt 仅剩表头)

backend/alembic/versions/c3d4e5f6a7b8_issue322_clean_views_batch.py

@@ -0,0 +1,49 @@
+"""#322 方案A: 批量新建 public 干净层只读视图(10 张, over ods 源表)
+
+背景(#319/#322 数据分层):
+- #319 已把 21 张信源表移入 ods schema; C2 契约要求 services/analytics/** 不得直读 ods 源表。
+- 本迁移为剩余各域落地「方案A 薄视图」: 一表一视图, **逐列取自 ods 源表, 不做任何加工**
+  (不改变任何口径/过滤/时间换算), 仅把 analytics 的「读法」从 ods 换成 public 视图。
+- refund 域的 public.refund_clean 已由上一迁移 a9b0c1d2e3f4 建好, **本迁移不重建**。
+
+单一列清单来源: app.models.ods_clean.CLEAN_VIEWS(键=视图名, 值=(源表全限定名, 列清单))。
+列清单由对应只读模型的 __table__.columns 生成, 与 conftest 视图重建共用同一来源, 保证不漂移。
+
+暴露列口径: 除内部溯源列 synced_at / raw_extra / updated_by_raw 外全部保留;
+  quality_status / quality_note 必须保留(analytics 质检清单/统计排除会读)。
+
+写入不受影响: upsert 入库 / actual_refund_time 回填等仍直写 ods 源表, 视图仅给 analytics 读。
+
+Revision ID: c3d4e5f6a7b8
+Revises: a9b0c1d2e3f4
+Create Date: 2026-10-14 01:00:00.000000
+"""
+
+from collections.abc import Sequence
+
+from alembic import op
+
+from app.models.ods_clean import CLEAN_VIEWS
+
+# revision identifiers, used by Alembic.
+revision: str = "c3d4e5f6a7b8"
+down_revision: str = "a9b0c1d2e3f4"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+# refund_clean 已由 a9b0c1d2e3f4 建好, 本迁移只建其余 10 张
+_NEW_VIEWS = [v for v in CLEAN_VIEWS if v != "refund_clean"]
+
+
+def upgrade() -> None:
+    for view, (src_table, cols) in CLEAN_VIEWS.items():
+        if view == "refund_clean":
+            continue  # 已存在, 不重建
+        op.execute(
+            f"CREATE VIEW public.{view} AS SELECT {cols} FROM {src_table}"
+        )
+
+
+def downgrade() -> None:
+    for view in _NEW_VIEWS:
+        op.execute(f"DROP VIEW IF EXISTS public.{view}")

backend/app/models/__init__.py

@@ -86,6 +86,21 @@ from app.models.metric import (
 )  # noqa: F401
 from app.models.notification import Notification  # noqa: F401
 from app.models.notification_channel import NotificationChannel  # noqa: F401
+
+# #322 方案A: public 干净层视图的只读模型集中登记(analytics 改读视图, 不直读 ods)
+from app.models.ods_clean import (  # noqa: F401
+    BmsOrderClean,
+    CardComplaintClean,
+    CsRecordClean,
+    DeviceComboClean,
+    DeviceFlowUsageClean,
+    ExternalComplaintClean,
+    ManualRefundClean,
+    RefundClean,
+    RefundRecordReportClean,
+    ShanmaoRefundClean,
+    WalletWithdrawalClean,
+)
 from app.models.onboarding_prompt import OnboardingPrompt  # noqa: F401
 from app.models.operation_log import OperationLog  # noqa: F401
 from app.models.person import Person, PersonAlias, PersonSkillTag  # noqa: F401
@@ -94,7 +109,7 @@ from app.models.prompt_config import PromptConfig  # noqa: F401
 from app.models.quality_disposition_rule import QualityDispositionRule  # noqa: F401
 from app.models.reconcile_check import ReconcileCheck  # noqa: F401
 from app.models.reconcile_match import ReconcileMatch  # noqa: F401
-from app.models.refund import Refund, RefundClean  # noqa: F401
+from app.models.refund import Refund  # noqa: F401
 from app.models.refund_record_report import RefundRecordReport  # noqa: F401
 from app.models.refund_wide import RefundWide  # noqa: F401
 from app.models.report import Report, ReportStatus, ReportType  # noqa: F401
@@ -220,6 +235,16 @@ __all__ = [
     "ReconcileMatch",
     "Refund",
     "RefundClean",
+    "BmsOrderClean",
+    "DeviceComboClean",
+    "CardComplaintClean",
+    "ExternalComplaintClean",
+    "CsRecordClean",
+    "WalletWithdrawalClean",
+    "DeviceFlowUsageClean",
+    "ManualRefundClean",
+    "RefundRecordReportClean",
+    "ShanmaoRefundClean",
     "RefundWide",
     "Report",
     "ReportStatus",

backend/app/models/ods_clean.py

@@ -0,0 +1,379 @@
+"""public 干净层视图的**只读** ORM 映射 (#322 方案A, 仅供 analytics 读)。
+
+背景(#319/#322 数据分层):
+- #319 把 21 张信源表移入 `ods` schema 后, C2 契约要求 `services/analytics/**`
+  **不得直读 ods 源表**, 须改读 public 干净层(视图/宽表/字典)。
+- 本模块集中登记 analytics 需要的「方案A 薄视图」: 一表一视图, **逐列取自 ods 源表,
+  不做任何加工**(不改变任何口径/过滤/时间换算), 仅把「读法」换成 public 视图。
+
+单一列清单来源: `CLEAN_VIEWS` —— 键=视图名, 值=(源表全限定名, 列清单)。
+列清单由**对应 Clean 模型的 `__table__.columns`** 生成(见 `_cols`), 保证不漏列,
+且与迁移 / conftest 视图重建逐字一致(改模型即自动同步)。
+
+暴露列口径: 除「内部溯源列」`synced_at` / `raw_extra` / `updated_by_raw` 外全部保留;
+`quality_status` / `quality_note` **必须保留**(analytics 质检清单/统计排除会读)。
+
+⚠️ 只读: 视图不可写。analytics 侧的任何**写入**(如手动退款质检回写)必须落在
+ods 源表(经对应写入模型, 见 `app.services.quality.manual_refund_review`),
+切勿在这些 Clean 模型上 INSERT/UPDATE/DELETE。
+⚠️ 不继承 QualityMixin / TimestampMixin: 避免引入未暴露字段; created_at / updated_at
+按视图列显式声明为普通列。不声明 ForeignKey / relationship(视图无约束)。
+⚠️ `__table_args__` 一律留空 → 落 public schema(视图位于 public.<view>)。
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from decimal import Decimal
+
+from sqlalchemy import BigInteger, Boolean, DateTime, Integer, Numeric, String, Text
+from sqlalchemy.orm import Mapped, mapped_column
+
+from app.core.database import Base
+
+
+class RefundClean(Base):
+    """`public.refund_clean` 视图 (#322 方案A, over ods.refunds)。
+
+    只暴露 analytics 实际消费的 21 列(其余 5 列 package_price / raw_extra /
+    synced_at / updated_by_raw / quality_note 不对外), 口径与 refunds 逐字一致。
+    """
+
+    __tablename__ = "refund_clean"
+    # 无 __table_args__: 默认 public schema
+
+    refund_no: Mapped[str] = mapped_column(String(64), primary_key=True, comment="退费单号 RF...")
+    platform_order_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="平台订单号 SP/WS/WX...")
+    third_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="三方订单号")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
+    refund_reason: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="退费原因")
+    package_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="套餐名称")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
+    refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="退费金额")
+    actual_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实退金额")
+    remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注")
+    status: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="状态:申请中/已退款/无需退款")
+    refund_method: Mapped[str | None] = mapped_column(
+        String(255), nullable=True, comment="退款方式:线上/线下(导出数据可能含描述性文本)"
+    )
+    audit_remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="审核备注")
+    auditor: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="审核人")
+    operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="操作人:企微-XXX/sys/system")
+    created_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始创建时间")
+    updated_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始更新时间")
+    actual_refund_time: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True, comment="实际扣款时间(E路refund_time回填, 对账用)"
+    )
+    quality_status: Mapped[str | None] = mapped_column(
+        String(16), nullable=True,
+        comment="数据质量状态: None=正常 / ok / auto_fixed / pending / dup_residual(排除) / ignored(排除)",
+    )
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class BmsOrderClean(Base):
+    """`public.bms_order_clean` 视图 (#322 方案A, over ods.bms_orders)。
+
+    排除内部溯源列 synced_at / raw_extra(其余业务列全保留)。
+    """
+
+    __tablename__ = "bms_order_clean"
+
+    order_no: Mapped[str] = mapped_column(String(64), primary_key=True, comment="订单号")
+    order_type: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="订单类型(预存/储值卡充值等)")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
+    combo_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="套餐名称")
+    combo_price: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="套餐价格(元)")
+    payable_price: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="应付价格(元)")
+    actual_pay_price: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实际支付价格(元)")
+    balance_pay_price: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="余额支付(元)")
+    wx_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="微信订单号")
+    pay_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="支付时间")
+    pay_type: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="支付类型(1微信支付等)")
+    order_status: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="订单状态(0未支付/1已支付)")
+    order_result: Mapped[str | None] = mapped_column(Text, nullable=True, comment="订单结果/下单返回")
+    order_status_raw: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="订单状态原始码")
+    create_user: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="创建人(WeChat/Wallet/SYS)")
+    create_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="创建时间(同步锚点)")
+    business_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
+    business_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="内部商户ID")
+    device_type_name: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备类型")
+    refund_status: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="退款状态")
+    active_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="激活时间")
+    last_stored_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="最后储值时间")
+    mch_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="微信商户Id")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="微信商户名称")
+    before_serve_valid_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="续费前服务有效期")
+    after_serve_valid_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="续费后服务有效期")
+    days: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="有效期天数")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class DeviceComboClean(Base):
+    """`public.device_combo_clean` 视图 (#322 方案A, over ods.device_combos)。"""
+
+    __tablename__ = "device_combo_clean"
+
+    recharge_order_no: Mapped[str] = mapped_column(String(64), primary_key=True, comment="充值订单号")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
+    package_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="套餐名称")
+    package_type: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="套餐类型:续费套餐")
+    traffic_type: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="流量类型:无限/固定流量")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
+    actual_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实际支付金额")
+    start_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="开始日期")
+    end_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="结束日期")
+    updated_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始更新时间")
+    created_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始创建时间")
+    valid_days: Mapped[int | None] = mapped_column(Integer, nullable=True, comment="套餐有效天数")
+    creator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="创建人:WeChat/SYS/Wallet")
+    available_traffic: Mapped[int | None] = mapped_column(BigInteger, nullable=True, comment="可用流量(字节,-1=无限)")
+    used_traffic: Mapped[int | None] = mapped_column(BigInteger, nullable=True, comment="已用流量(字节)")
+    remaining_traffic: Mapped[int | None] = mapped_column(BigInteger, nullable=True, comment="剩余流量(字节)")
+    status: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="当前状态:流量正常")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class CardComplaintClean(Base):
+    """`public.card_complaint_clean` 视图 (#322 方案A, over ods.card_complaints)。"""
+
+    __tablename__ = "card_complaint_clean"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True, comment="自增主键")
+    complaint_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="投诉日期(主时间字段)")
+    complaint_group: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉群")
+    complainant: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉人")
+    complainant_phone: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="投诉手机号")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备号 SN")
+    problem: Mapped[str | None] = mapped_column(Text, nullable=True, comment="投诉问题")
+    problem_category: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉问题分类(二级)")
+    result: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="结果")
+    solution: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="解决方案")
+    handler: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="处理人(人员别名来源)")
+    handle_result: Mapped[str | None] = mapped_column(Text, nullable=True, comment="处理结果")
+    matched_ticket_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="关联服务工单号")
+    matched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="关联工单时间")
+    dedup_hash: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="业务去重指纹(md5)")
+    quality_status: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="数据质量状态")
+    quality_note: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="质量说明")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class ExternalComplaintClean(Base):
+    """`public.external_complaint_clean` 视图 (#322 方案A, over ods.external_complaints)。"""
+
+    __tablename__ = "external_complaint_clean"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True, comment="自增主键")
+    complaint_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉编号")
+    complaint_date: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="投诉日期(主时间字段)")
+    platform: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="平台")
+    complaint_account: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="投诉账号")
+    company_entity: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="公司主体")
+    complaint_shop: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="投诉店铺")
+    purchase_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="购买订单编号")
+    complainant: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉人")
+    complainant_phone: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="投诉手机号")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉设备号 SN")
+    wechat_id: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="微信账户id")
+    problem: Mapped[str | None] = mapped_column(Text, nullable=True, comment="投诉问题")
+    keyword: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="投诉关键词")
+    complaint_category: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="投诉分类")
+    solution: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="解决方案")
+    result: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="结果")
+    follower: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="跟进人")
+    handle_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="处理时间")
+    handle_detail: Mapped[str | None] = mapped_column(Text, nullable=True, comment="处理明细")
+    matched_ticket_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="关联服务工单号")
+    matched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="关联工单时间")
+    dedup_hash: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="业务去重指纹(md5)")
+    quality_status: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="数据质量状态")
+    quality_note: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="质量说明")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class CsRecordClean(Base):
+    """`public.cs_record_clean` 视图 (#322 方案A, over ods.cs_records)。"""
+
+    __tablename__ = "cs_record_clean"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True, comment="自增主键")
+    problem_category: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="问题大类")
+    problem_type: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="问题类型")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备号 SN")
+    solution: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="方案")
+    operation_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="操作时间(主时间字段)")
+    operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="操作人:企微-XXX")
+    send_content: Mapped[str | None] = mapped_column(Text, nullable=True, comment="发送内容")
+    description: Mapped[str | None] = mapped_column(Text, nullable=True, comment="说明")
+    execution_result: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="执行结果说明")
+    user_accepted: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="用户是否接受")
+    consult_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="咨询时间")
+    problem_create_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="问题类型创建时间")
+    last_consult_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="最后咨询时间")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class WalletWithdrawalClean(Base):
+    """`public.wallet_withdrawal_clean` 视图 (#322 方案A, over ods.wallet_withdrawals)。"""
+
+    __tablename__ = "wallet_withdrawal_clean"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True, comment="自增主键")
+    account_id: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="账户ID")
+    wallet_balance: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="钱包余额")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="SN")
+    op_type: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="操作类型:用户提现/订单退费转入")
+    op_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="操作金额")
+    remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注(含退费单号 RF...)")
+    op_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="操作时间")
+    operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="操作人员:SYS/用户提现")
+    actual_refund_time: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True, comment="实际扣款时间(E路refund_time回填, 对账用)"
+    )
+    quality_status: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="数据质量状态")
+    quality_note: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="质量说明")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class DeviceFlowUsageClean(Base):
+    """`public.device_flow_usage_clean` 视图 (#322 方案A, over ods.device_flow_usage)。"""
+
+    __tablename__ = "device_flow_usage_clean"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True, comment="自增主键")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
+    merchant_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="商户ID(businessId)")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
+    device_type_name: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备类型")
+    device_group_name: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备组")
+    device_combo_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="当前套餐")
+    stat_month: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="统计月份 YYYY-MM")
+    flow_gb: Mapped[float | None] = mapped_column(Numeric(12, 4), nullable=True, comment="该月流量(GB)")
+    month_complete: Mapped[bool | None] = mapped_column(Boolean, nullable=True, comment="是否完整月")
+    fetched_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="本次抓取时间")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class ManualRefundClean(Base):
+    """`public.manual_refund_clean` 视图 (#322 方案A, over ods.manual_refunds)。
+
+    ⚠️ 只读: 手动退款**质检回写**(quality_status/quality_note 及字段修正)不可写视图,
+    必须经 ods 源表(见 `app.services.quality.manual_refund_review`)。
+    """
+
+    __tablename__ = "manual_refund_clean"
+
+    id: Mapped[int] = mapped_column(BigInteger, primary_key=True, autoincrement=True, comment="自增主键")
+    register_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="登记日期")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备号")
+    order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="订单号")
+    merchant_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="商户ID(微信商户号)")
+    order_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="订单金额")
+    registrant: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="登记人")
+    is_refunded: Mapped[str | None] = mapped_column(String(8), nullable=True, comment="是否已退款(是/否)")
+    refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="退款金额")
+    refund_operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="退款操作人")
+    op_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="操作时间")
+    remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注")
+    actual_refund_time: Mapped[datetime | None] = mapped_column(
+        DateTime(timezone=True), nullable=True, comment="实际扣款时间(E路refund_time回填, 对账用)"
+    )
+    quality_status: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="数据质量状态")
+    quality_note: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="质量说明")
+    register_time_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="登记日期原始值")
+    backfill_refund_record_report_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="op_time 回填来源 refund_record_reports.id")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class RefundRecordReportClean(Base):
+    """`public.refund_record_report_clean` 视图 (#322 方案A, over ods.refund_record_reports)。
+
+    排除内部溯源列 raw_extra / synced_at。
+    """
+
+    __tablename__ = "refund_record_report_clean"
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True, comment="自增主键")
+    platform_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="平台订单号")
+    wx_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="微信订单号")
+    merchant_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="商户号(对账锚点)")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备号(对账锚点)")
+    product_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商品名称")
+    refund_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="退款时间")
+    apply_refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="申请退款金额(元)")
+    refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="退款金额(元)")
+    refund_status: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="退款状态")
+    backfill_op_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="回填到 D 路 op_time 的时间")
+    backfill_manual_refund_id: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="已回填的 manual_refunds.id")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+class ShanmaoRefundClean(Base):
+    """`public.shanmao_refund_clean` 视图 (#322 方案A, over ods.shanmao_refunds)。
+
+    排除内部溯源列 raw_extra。
+    """
+
+    __tablename__ = "shanmao_refund_clean"
+
+    refund_no: Mapped[str] = mapped_column(String(64), primary_key=True, comment="闪猫退款单号(TF开头)")
+    order_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="关联订单号")
+    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
+    phone: Mapped[str | None] = mapped_column(String(32), nullable=True, comment="手机号码")
+    paid_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实际支付金额")
+    refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="申请退款金额")
+    actual_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实际退款金额")
+    package_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="套餐/商品名称")
+    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
+    refund_reason: Mapped[str | None] = mapped_column(String(255), nullable=True, comment="退款原因")
+    refund_method: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="退款方式")
+    status: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="状态:已退款/审核中/已驳回等")
+    applicant: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="申请人")
+    auditor: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="审核人")
+    operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="操作人(打款人)")
+    apply_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="申请时间")
+    audit_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="审核时间")
+    refund_time: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="实际退款完成时间")
+    remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注")
+    audit_remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="审核备注")
+    quality_status: Mapped[str | None] = mapped_column(String(16), nullable=True, comment="数据质量状态")
+    quality_note: Mapped[str | None] = mapped_column(String(512), nullable=True, comment="质量说明")
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
+
+
+def _cols(model: type[Base]) -> str:
+    """由只读模型 `__table__.columns` 生成列名单(逗号分隔, 保证不漏列)。
+
+    视图 DDL 与 conftest 视图重建共用此清单, 与迁移逐字一致。
+    """
+    return ", ".join(c.name for c in model.__table__.columns)
+
+
+# 视图名 → (源表全限定名, 列清单)。refund_clean 亦纳入, 便于 conftest 统一处理
+# (其迁移/模型本次不改, 列清单由 RefundClean 模型自动得出, 与旧迁移逐字一致)。
+CLEAN_VIEWS: dict[str, tuple[str, str]] = {
+    "refund_clean": ("ods.refunds", _cols(RefundClean)),
+    "bms_order_clean": ("ods.bms_orders", _cols(BmsOrderClean)),
+    "device_combo_clean": ("ods.device_combos", _cols(DeviceComboClean)),
+    "card_complaint_clean": ("ods.card_complaints", _cols(CardComplaintClean)),
+    "external_complaint_clean": ("ods.external_complaints", _cols(ExternalComplaintClean)),
+    "cs_record_clean": ("ods.cs_records", _cols(CsRecordClean)),
+    "wallet_withdrawal_clean": ("ods.wallet_withdrawals", _cols(WalletWithdrawalClean)),
+    "device_flow_usage_clean": ("ods.device_flow_usage", _cols(DeviceFlowUsageClean)),
+    "manual_refund_clean": ("ods.manual_refunds", _cols(ManualRefundClean)),
+    "refund_record_report_clean": ("ods.refund_record_reports", _cols(RefundRecordReportClean)),
+    "shanmao_refund_clean": ("ods.shanmao_refunds", _cols(ShanmaoRefundClean)),
+}

backend/app/models/refund.py

@@ -64,49 +64,6 @@ class Refund(QualityMixin, TimestampMixin, Base):
     # 覆盖 TimestampMixin 的 created_at/updated_at 含义:这里指系统导入时间
     # created_at/updated_at 来自 TimestampMixin(系统导入时间)
 
-
+# 注意: `public.refund_clean` 的**只读**映射 `RefundClean` 已迁至
-class RefundClean(Base):
+# `app/models/ods_clean.py`(#322 方案A: 全部干净层视图模型集中一处, 便于
-    """`public.refund_clean` 视图的**只读**映射 (#322 方案A, 仅供 analytics 读)。
+# 迁移/conftest 复用同一列清单 `CLEAN_VIEWS`)。本文件仅保留可写的 ods `Refund`。
-
-    背景: #319 把信源表 refunds 移入 ods schema 后, C2 契约要求
-    `services/analytics/**` 不得直读 ods 源表。本视图 over `ods.refunds`,
-    只暴露 analytics 实际消费的 21 列(其余 5 列 package_price / raw_extra /
-    synced_at / updated_by_raw / quality_note 不对外), 口径与 refunds 逐字一致。
-
-    ⚠️ 只读: 写入(upsert 入库 / actual_refund_time 回填)仍走 `Refund` → `ods.refunds`,
-    切勿在本模型上做 INSERT/UPDATE/DELETE(视图不可写)。
-    ⚠️ 不继承 QualityMixin / TimestampMixin: 视图仅暴露 quality_status(不含
-    quality_note), created_at / updated_at 亦显式声明为普通列, 避免引入未暴露字段。
-    """
-
-    __tablename__ = "refund_clean"
-    # 无 __table_args__: 默认 public schema(视图位于 public.refund_clean)
-
-    refund_no: Mapped[str] = mapped_column(String(64), primary_key=True, comment="退费单号 RF...")
-    platform_order_no: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="平台订单号 SP/WS/WX...")
-    third_order_no: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="三方订单号")
-    device_sn: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="设备SN")
-    refund_reason: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="退费原因")
-    package_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="套餐名称")
-    merchant_name: Mapped[str | None] = mapped_column(String(128), nullable=True, comment="商户名称")
-    refund_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="退费金额")
-    actual_amount: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True, comment="实退金额")
-    remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="备注")
-    status: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="状态:申请中/已退款/无需退款")
-    refund_method: Mapped[str | None] = mapped_column(
-        String(255), nullable=True, comment="退款方式:线上/线下(导出数据可能含描述性文本)"
-    )
-    audit_remark: Mapped[str | None] = mapped_column(Text, nullable=True, comment="审核备注")
-    auditor: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="审核人")
-    operator: Mapped[str | None] = mapped_column(String(64), nullable=True, comment="操作人:企微-XXX/sys/system")
-    created_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始创建时间")
-    updated_at_raw: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True, comment="原始更新时间")
-    actual_refund_time: Mapped[datetime | None] = mapped_column(
-        DateTime(timezone=True), nullable=True, comment="实际扣款时间(E路refund_time回填, 对账用)"
-    )
-    quality_status: Mapped[str | None] = mapped_column(
-        String(16), nullable=True,
-        comment="数据质量状态: None=正常 / ok / auto_fixed / pending / dup_residual(排除) / ignored(排除)",
-    )
-    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")
-    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, comment="系统导入时间")

backend/app/services/analytics/__init__.py

@@ -150,11 +150,7 @@ from app.services.analytics.refund import (
     _RR_CS_FAIL_KW,
     _RR_SYS_KW,
     _empty_kpi,
-    _mr_quality_out,
     _refund_recovery_core,
-    manual_refund_quality_confirm,
-    manual_refund_quality_fix,
-    manual_refund_quality_list,
     refund_decision_overview,
     refund_device_analysis,
     refund_device_detail,
@@ -213,6 +209,12 @@ from app.services.analytics.today import (
     today_refund_breakdown,
     today_staff_efficiency,
 )
+from app.services.quality.manual_refund_review import (
+    _mr_quality_out,
+    manual_refund_quality_confirm,
+    manual_refund_quality_fix,
+    manual_refund_quality_list,
+)
 
 __all__ = [
     'COMPLAINT_SPECIALIST_POSITION',

backend/app/services/analytics/_core.py

@@ -19,13 +19,11 @@ from sqlalchemy import and_, case, exists, func, literal, or_, select, text
 from sqlalchemy.orm import Session
 
 from app.models.group import PersonGroupMembership
+from app.models.ods_clean import RefundClean, RefundRecordReportClean, WalletWithdrawalClean
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
-from app.models.refund_record_report import RefundRecordReport
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.staff_assignment import StaffAssignment
 from app.models.ticket import ServiceTicket
-from app.models.wallet import WalletWithdrawal
 from app.services.complaint_scope import (
     BUCKET_OTHER,  # noqa: F401
     complaint_bucket_case,
@@ -38,7 +36,7 @@ from app.services.quality_check import stats_quality_include
 # ═══════════════════════════════════════════════════════════════════
 # 2026-08-14: 投诉登记节点下的外部投诉/卡商群投诉两个文件曾"暂不纳入"
 #   系统汇总分析。设置为 False 后, 部分 analytics 聚合将跳过
-#   ExternalComplaint / CardComplaint 两张表, 仅使用 service_tickets
+#   外部投诉 / 卡商群投诉两封信源表, 仅使用 service_tickets
 #   中的投诉分类作为统计口径。
 #
 # ⚠️⚠️ 2026-09-10 (#47) 改为 True —— 用户拍板 ⚠️⚠️
@@ -323,12 +321,12 @@ def _route_b_withdraw_filter():
     避免被冻结/拒绝的提现被误计入成功退款统计。
     备注为 NULL 视为非失败(COALESCE 保护), 正常计入。
     """
-    conds = [WalletWithdrawal.op_type == "用户提现"]
+    conds = [WalletWithdrawalClean.op_type == "用户提现"]
     for _k in _WITHDRAW_FAIL_REMARK_KEYWORDS:
-        conds.append(func.coalesce(WalletWithdrawal.remark, "").notlike(f"%{_k}%"))
+        conds.append(func.coalesce(WalletWithdrawalClean.remark, "").notlike(f"%{_k}%"))
     # #201 S-P0-1：排除 dup_residual/ignored（wallet 在 QUALITY_TABLES 内可被打标，
     # 与 cash_flow_wide B 路口径一致）
-    conds.append(stats_quality_include(WalletWithdrawal.quality_status))
+    conds.append(stats_quality_include(WalletWithdrawalClean.quality_status))
     return tuple(conds)
 
 
@@ -343,7 +341,7 @@ _E_ROUTE_SUCCESS_STATUSES = ("退款成功", "成功", "SUCCESS")
 
 def _route_e_cashflow_filter():
     """【实际现金流 E】refund_record_reports: refund_status 为退款成功 全部"""
-    return (RefundRecordReport.refund_status.in_(_E_ROUTE_SUCCESS_STATUSES),)
+    return (RefundRecordReportClean.refund_status.in_(_E_ROUTE_SUCCESS_STATUSES),)
 
 
 
@@ -1148,8 +1146,8 @@ def _device_dim_matched_sns(
     激活时间改查 bms_orders MIN(active_date) 或 devices.active_time 兜底(并集)。
     不同条件查不同源, 各自取 SN 集合后取交集(AND 语义)。
     """
-    from app.models.bms_order import BmsOrder
     from app.models.device import Device
+    from app.models.ods_clean import BmsOrderClean
 
     sn_sets: list[set[str]] = []
 
@@ -1164,10 +1162,10 @@ def _device_dim_matched_sns(
     #   否则图表桶(回落值)点击下钻查不到。
     if device_type or combo:
         latest_sub = (
-            select(BmsOrder.device_sn, BmsOrder.device_type_name, BmsOrder.combo_name)
+            select(BmsOrderClean.device_sn, BmsOrderClean.device_type_name, BmsOrderClean.combo_name)
-            .where(BmsOrder.device_sn.isnot(None))
+            .where(BmsOrderClean.device_sn.isnot(None))
-            .distinct(BmsOrder.device_sn)
+            .distinct(BmsOrderClean.device_sn)
-            .order_by(BmsOrder.device_sn, BmsOrder.create_date.desc().nullslast())
+            .order_by(BmsOrderClean.device_sn, BmsOrderClean.create_date.desc().nullslast())
         ).subquery()
         latest_sq = select(latest_sub.c.device_sn)
         if device_type:
@@ -1185,7 +1183,7 @@ def _device_dim_matched_sns(
         dev_sq = (
             select(Device.sn)
             .where(Device.sn.isnot(None), or_(*dev_conds))
-            .where(~exists(select(1).where(BmsOrder.device_sn == Device.sn)))
+            .where(~exists(select(1).where(BmsOrderClean.device_sn == Device.sn)))
         )
         for s in db.scalars(dev_sq).all():
             if s:
@@ -1217,14 +1215,14 @@ def _device_dim_matched_sns(
             hi = datetime.combine(d1, _dt.time.max, tzinfo=TZ).astimezone(_dt.timezone.utc).replace(tzinfo=None) if d1 else None
             active_matched: set[str] = set()
             # 1) bms_orders 有 MIN(active_date) 落在区间
-            bms_sq = select(BmsOrder.device_sn).where(BmsOrder.active_date.isnot(None)).group_by(BmsOrder.device_sn)
+            bms_sq = select(BmsOrderClean.device_sn).where(BmsOrderClean.active_date.isnot(None)).group_by(BmsOrderClean.device_sn)
             if lo:
-                bms_sq = bms_sq.having(func.min(BmsOrder.active_date) >= lo)
+                bms_sq = bms_sq.having(func.min(BmsOrderClean.active_date) >= lo)
             if hi:
-                bms_sq = bms_sq.having(func.min(BmsOrder.active_date) <= hi)
+                bms_sq = bms_sq.having(func.min(BmsOrderClean.active_date) <= hi)
             active_matched.update(s for s in db.scalars(bms_sq).all() if s)
             # 2) devices.active_time 落在区间 且 该 SN 无 bms_orders 激活记录(兜底, 不重复)
-            has_bms_active = select(BmsOrder.device_sn).where(BmsOrder.active_date.isnot(None))
+            has_bms_active = select(BmsOrderClean.device_sn).where(BmsOrderClean.active_date.isnot(None))
             dev_conds = [Device.active_time.isnot(None), ~Device.sn.in_(has_bms_active)]
             if lo:
                 dev_conds.append(Device.active_time >= lo)
@@ -1248,14 +1246,14 @@ def _device_dim_options(db: Session) -> dict[str, list[str]]:
     · 套餐     = bms_orders.combo_name distinct(排除工厂质检 3 变体)
     · 商户号   = devices.merchant_name(设备归属)
     """
-    from app.models.bms_order import BmsOrder
     from app.models.device import Device
+    from app.models.ods_clean import BmsOrderClean
 
     # 设备类型: bms_orders.device_type_name(原文), distinct 取后排序
     type_names = sorted({
         t for t in db.scalars(
-            select(BmsOrder.device_type_name)
+            select(BmsOrderClean.device_type_name)
-            .where(BmsOrder.device_type_name.isnot(None))
+            .where(BmsOrderClean.device_type_name.isnot(None))
             .distinct()
         ).all() if t
     })
@@ -1263,8 +1261,8 @@ def _device_dim_options(db: Session) -> dict[str, list[str]]:
     # 套餐: bms_orders.combo_name, 排除工厂质检测试套餐(3 变体不计入分析)
     combos = sorted({
         c for c in db.scalars(
-            select(BmsOrder.combo_name)
+            select(BmsOrderClean.combo_name)
-            .where(BmsOrder.combo_name.isnot(None))
+            .where(BmsOrderClean.combo_name.isnot(None))
             .distinct()
         ).all() if c and "工厂质检" not in c
     })
@@ -1339,9 +1337,8 @@ def _device_dim_attrs(db: Session, sns: set[str]) -> dict[str, dict[str, Any]]:
     """
     if not sns:
         return {}
-    from app.models.bms_order import BmsOrder
     from app.models.device import Device
-    from app.models.device_combo import DeviceCombo
+    from app.models.ods_clean import BmsOrderClean, DeviceComboClean
 
     # 1) devices 表: merchant_name + active_time(激活兜底) + device_type/current_combo_name(#293 回落)
     dev_rows = db.execute(
@@ -1353,10 +1350,10 @@ def _device_dim_attrs(db: Session, sns: set[str]) -> dict[str, dict[str, Any]]:
     # 2) bms_orders: 最新订单(create_date DESC 取首条)的 device_type_name;
     #    combo 取最新**非质检**订单(#312: 跳过质检单, 防历史正常套餐被顶掉)
     order_rows = db.execute(
-        select(BmsOrder.device_sn, BmsOrder.device_type_name,
+        select(BmsOrderClean.device_sn, BmsOrderClean.device_type_name,
-               BmsOrder.combo_name, BmsOrder.create_date)
+               BmsOrderClean.combo_name, BmsOrderClean.create_date)
-        .where(BmsOrder.device_sn.in_(sns))
+        .where(BmsOrderClean.device_sn.in_(sns))
-        .order_by(BmsOrder.device_sn, BmsOrder.create_date.desc().nullslast())
+        .order_by(BmsOrderClean.device_sn, BmsOrderClean.create_date.desc().nullslast())
     ).all()
     latest: dict[str, tuple[str | None, str | None]] = {}
     latest_nonqc_combo: dict[str, str] = {}
@@ -1371,9 +1368,9 @@ def _device_dim_attrs(db: Session, sns: set[str]) -> dict[str, dict[str, Any]]:
     # 2b) device_combos 最新充值流水 package_name(#312 第三回落源, 非质检)
     dc_combo: dict[str, str] = {}
     for sn, pkg, _c in db.execute(
-        select(DeviceCombo.device_sn, DeviceCombo.package_name, DeviceCombo.created_at_raw)
+        select(DeviceComboClean.device_sn, DeviceComboClean.package_name, DeviceComboClean.created_at_raw)
-        .where(DeviceCombo.device_sn.in_(sns), DeviceCombo.package_name.isnot(None))
+        .where(DeviceComboClean.device_sn.in_(sns), DeviceComboClean.package_name.isnot(None))
-        .order_by(DeviceCombo.device_sn, DeviceCombo.created_at_raw.desc().nullslast())
+        .order_by(DeviceComboClean.device_sn, DeviceComboClean.created_at_raw.desc().nullslast())
     ).all():
         sn_s = str(sn)
         if sn_s not in dc_combo and pkg and "工厂质检" not in pkg:
@@ -1382,9 +1379,9 @@ def _device_dim_attrs(db: Session, sns: set[str]) -> dict[str, dict[str, Any]]:
     # 3) 最早激活日: bms_orders MIN(active_date)(#251 同源)
     first_active: dict[str, Any] = {
         sn: fa for sn, fa in db.execute(
-            select(BmsOrder.device_sn, func.min(BmsOrder.active_date))
+            select(BmsOrderClean.device_sn, func.min(BmsOrderClean.active_date))
-            .where(BmsOrder.device_sn.in_(sns), BmsOrder.active_date.isnot(None))
+            .where(BmsOrderClean.device_sn.in_(sns), BmsOrderClean.active_date.isnot(None))
-            .group_by(BmsOrder.device_sn)
+            .group_by(BmsOrderClean.device_sn)
         ).all()
     }
 

backend/app/services/analytics/cash.py

@@ -8,10 +8,12 @@ from typing import Any
 from sqlalchemy import and_, func, select, text
 from sqlalchemy.orm import Session
 
-from app.models.manual_refund import ManualRefund
+from app.models.ods_clean import (
-from app.models.refund import RefundClean
+    ManualRefundClean,
-from app.models.refund_record_report import RefundRecordReport
+    RefundClean,
-from app.models.wallet import WalletWithdrawal
+    RefundRecordReportClean,
+    WalletWithdrawalClean,
+)
 
 # 跨子模块引用(拆分自 app.services.analytics, 原同文件内直接调用)
 from app.services.analytics._core import (
@@ -90,7 +92,8 @@ def operation_method_dist(db: Session) -> list[dict]:
 #   金额: actual_amount(实际退款金额)  而非 refund_amount(申请退款金额)
 #   时间: audit_time(审核通过时间 ≈ 退款完成时间)  Excel 无独立 refund_time 列
 #   状态列: status  成功值: '已退款'(中文), 其他状态(申请中/已驳回/退款失败等)不计入经营出款
-_C_SHANMAO_TABLE = "shanmao_refunds"
+# #322 方案A: 读路径切到 public 薄视图 shanmao_refund_clean(over 闪猫退款信源表), 口径逐字不变
+_C_SHANMAO_TABLE = "shanmao_refund_clean"
 
 _C_SHANMAO_AMOUNT_COL = "actual_amount"
 
@@ -168,7 +171,8 @@ def _route_c_shanmao_agg(db: Session, start, end) -> tuple[int, float]:
 # 数据源: 商户号手机退款处理登记.xlsx (客服在商户号后台手动操作退款台账)
 #   金额: refund_amount(退款金额); 状态: is_refunded='是' 计入经营出款, '否' = 登记蓄水(水位)
 #   时间: op_time(实际退款操作时间) 为主, 缺失回退 register_time(登记日期)
-_D_OTHER_TABLE = "manual_refunds"
+# #322 方案A: 读路径切到 public 薄视图 manual_refund_clean(over 手动退款信源表), 口径逐字不变
+_D_OTHER_TABLE = "manual_refund_clean"
 
 _D_OTHER_AMOUNT_COL = "refund_amount"
 
@@ -228,7 +232,7 @@ def _quality_include_cond() -> list:
     (同一份报表里两条路径混用时, 曾出现一条排除 dup_residual、另一条没排除)。
     #201 S-P0-1：真身收敛到 quality_check.stats_quality_include。
     """
-    return [stats_quality_include(ManualRefund.quality_status)]
+    return [stats_quality_include(ManualRefundClean.quality_status)]
 
 def _route_d_other_agg(db: Session, start, end) -> tuple[int, float]:
     """【路线D】手动退款(manual_refunds)独立表聚合 (表不存在则返回 0,0,不报错).
@@ -353,8 +357,8 @@ def _route_d_other_trend(db: Session, start, end, grain: str, slot_idx_fn) -> tu
 
 def _cash_routes_total(db: Session,
                        col_a: Any = RefundClean.created_at_raw,
-                       col_b: Any = WalletWithdrawal.op_time,
+                       col_b: Any = WalletWithdrawalClean.op_time,
-                       col_e: Any = RefundRecordReport.refund_time,
+                       col_e: Any = RefundRecordReportClean.refund_time,
                        start: _dt.datetime | None = None,
                        end: _dt.datetime | None = None) -> dict[str, Any]:
     """【统一核算聚合器 v3】四路经营A/B/C/D + 实际现金流E + 对账偏差.
@@ -395,7 +399,7 @@ def _cash_routes_total(db: Session,
     # ── B 钱包用户取现 ──
     b_row = db.execute(select(
         func.count(),
-        func.coalesce(func.sum(WalletWithdrawal.op_amount), 0),
+        func.coalesce(func.sum(WalletWithdrawalClean.op_amount), 0),
     ).where(
         *_route_b_withdraw_filter(),
         _between(col_b, start, end),
@@ -410,7 +414,7 @@ def _cash_routes_total(db: Session,
     # ── E 实际现金流: refund_record_reports 退款成功合计 (对账基准) ──
     e_row = db.execute(select(
         func.count(),
-        func.coalesce(func.sum(RefundRecordReport.refund_amount), 0),
+        func.coalesce(func.sum(RefundRecordReportClean.refund_amount), 0),
     ).where(
         *_route_e_cashflow_filter(),
         _between(col_e, start, end),
@@ -475,11 +479,11 @@ def cash_out_trend(db: Session, start: datetime | None = None, end: datetime | N
     # ── B 用户提现按日 (路线B wallet) ──
     withdraw_rows = db.execute(
         select(
-            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawal.op_time), "YYYY-MM-DD").label("date"),
+            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawalClean.op_time), "YYYY-MM-DD").label("date"),
-            func.coalesce(func.sum(WalletWithdrawal.op_amount), 0).label("amount"),
+            func.coalesce(func.sum(WalletWithdrawalClean.op_amount), 0).label("amount"),
             func.count().label("count"),
         )
-        .where(WalletWithdrawal.op_time.between(s, e), *_route_b_withdraw_filter())
+        .where(WalletWithdrawalClean.op_time.between(s, e), *_route_b_withdraw_filter())
         .group_by("date")
     ).all()
     withdraw_map = {r.date: {"amount": D(r.amount), "count": r.count} for r in withdraw_rows}
@@ -531,11 +535,11 @@ def cash_out_trend(db: Session, start: datetime | None = None, end: datetime | N
     # 日分桶统一按北京日 (与决策概览 _day AT TIME ZONE 口径一致)
     actual_rows = db.execute(
         select(
-            func.to_char(func.timezone("Asia/Shanghai", RefundRecordReport.refund_time), "YYYY-MM-DD").label("date"),
+            func.to_char(func.timezone("Asia/Shanghai", RefundRecordReportClean.refund_time), "YYYY-MM-DD").label("date"),
-            func.coalesce(func.sum(RefundRecordReport.refund_amount), 0).label("amount"),
+            func.coalesce(func.sum(RefundRecordReportClean.refund_amount), 0).label("amount"),
             func.count().label("count"),
         )
-        .where(RefundRecordReport.refund_time.between(s, e), *_route_e_cashflow_filter())
+        .where(RefundRecordReportClean.refund_time.between(s, e), *_route_e_cashflow_filter())
         .group_by("date")
     ).all()
     actual_map = {r.date: {"amount": D(r.amount), "count": r.count} for r in actual_rows}
@@ -592,20 +596,20 @@ def wallet_vs_withdraw(db: Session, start: datetime | None = None, end: datetime
     # 退回钱包: wallet 中 op_type='订单退费转入'
     wallet_in = db.execute(
         select(
-            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawal.op_time), "YYYY-MM-DD").label("date"),
+            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawalClean.op_time), "YYYY-MM-DD").label("date"),
-            func.coalesce(func.sum(WalletWithdrawal.op_amount), 0).label("amount"),
+            func.coalesce(func.sum(WalletWithdrawalClean.op_amount), 0).label("amount"),
         )
-        .where(WalletWithdrawal.op_time.between(start, end), WalletWithdrawal.op_type == "订单退费转入")
+        .where(WalletWithdrawalClean.op_time.between(start, end), WalletWithdrawalClean.op_type == "订单退费转入")
         .group_by("date")
     ).all()
     wallet_in_map = {r.date: D(r.amount) for r in wallet_in}
     # 实际提现: op_type='用户提现' 且 备注非失败/冻结 (2026-08-28 排除冻结记录)
     withdraw = db.execute(
         select(
-            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawal.op_time), "YYYY-MM-DD").label("date"),
+            func.to_char(func.timezone("Asia/Shanghai", WalletWithdrawalClean.op_time), "YYYY-MM-DD").label("date"),
-            func.coalesce(func.sum(WalletWithdrawal.op_amount), 0).label("amount"),
+            func.coalesce(func.sum(WalletWithdrawalClean.op_amount), 0).label("amount"),
         )
-        .where(WalletWithdrawal.op_time.between(start, end), *_route_b_withdraw_filter())
+        .where(WalletWithdrawalClean.op_time.between(start, end), *_route_b_withdraw_filter())
         .group_by("date")
     ).all()
     withdraw_map = {r.date: D(r.amount) for r in withdraw}
@@ -666,13 +670,13 @@ def merchant_cash_summary(db: Session) -> list[dict]:
     """
     rows = db.execute(
         select(
-            RefundRecordReport.merchant_id,
+            RefundRecordReportClean.merchant_id,
-            func.coalesce(func.sum(RefundRecordReport.refund_amount), 0).label("amount"),
+            func.coalesce(func.sum(RefundRecordReportClean.refund_amount), 0).label("amount"),
             func.count().label("count"),
         )
         .where(*_route_e_cashflow_filter())
-        .group_by(RefundRecordReport.merchant_id)
+        .group_by(RefundRecordReportClean.merchant_id)
-        .order_by(func.sum(RefundRecordReport.refund_amount).desc())
+        .order_by(func.sum(RefundRecordReportClean.refund_amount).desc())
         .limit(50)
     ).all()
     return [
@@ -690,11 +694,11 @@ def wallet_balance_top(db: Session, limit: int = 20) -> list[dict]:
     # 用窗口函数取每个账户最新一条记录的余额
     rows = db.execute(
         select(
-            WalletWithdrawal.account_id,
+            WalletWithdrawalClean.account_id,
-            WalletWithdrawal.wallet_balance,
+            WalletWithdrawalClean.wallet_balance,
-            WalletWithdrawal.op_time,
+            WalletWithdrawalClean.op_time,
         )
-        .order_by(WalletWithdrawal.account_id, WalletWithdrawal.op_time.desc())
+        .order_by(WalletWithdrawalClean.account_id, WalletWithdrawalClean.op_time.desc())
         .limit(limit * 5)
     ).all()
     # 去重保留每个账户最新

backend/app/services/analytics/category.py

@@ -35,11 +35,9 @@ from sqlalchemy.orm import Session
 
 from app.models.combo_dict import ComboDict, ComboNameAlias
 from app.models.device import Device
-from app.models.device_combo import DeviceCombo
+from app.models.ods_clean import DeviceComboClean, DeviceFlowUsageClean, RefundClean
-from app.models.device_flow_usage import DeviceFlowUsage
 
 # from app.models.merchant import DeviceMerchantLink, Merchant  # #271: 暂用 devices.merchant_name，links/merchants 表全空
-from app.models.refund import RefundClean
 from app.models.ticket import ServiceTicket
 from app.services import complaint_scope
 from app.services.analytics._core import D
@@ -92,15 +90,15 @@ def _fetch_active_devices(db: Session, since: datetime, end: datetime) -> set[st
     环比全线假降 60-85%。
     """
     # 质检套餐排除(#293): 出厂质检流水非真实充值, 不应计入充值活跃
-    not_qc = DeviceCombo.package_name.notilike("%质检%")
+    not_qc = DeviceComboClean.package_name.notilike("%质检%")
     # 充值活跃
     rc = {
         r[0]
         for r in db.execute(
-            select(distinct(DeviceCombo.device_sn))
+            select(distinct(DeviceComboClean.device_sn))
-            .where(DeviceCombo.device_sn.isnot(None))
+            .where(DeviceComboClean.device_sn.isnot(None))
-            .where(DeviceCombo.created_at_raw >= since)
+            .where(DeviceComboClean.created_at_raw >= since)
-            .where(DeviceCombo.created_at_raw <= end)
+            .where(DeviceComboClean.created_at_raw <= end)
             .where(not_qc)
         )
     }
@@ -108,11 +106,11 @@ def _fetch_active_devices(db: Session, since: datetime, end: datetime) -> set[st
     fl = {
         r[0]
         for r in db.execute(
-            select(distinct(DeviceFlowUsage.device_sn))
+            select(distinct(DeviceFlowUsageClean.device_sn))
-            .where(DeviceFlowUsage.device_sn.isnot(None))
+            .where(DeviceFlowUsageClean.device_sn.isnot(None))
-            .where(DeviceFlowUsage.month_complete.is_(True))
+            .where(DeviceFlowUsageClean.month_complete.is_(True))
-            .where(DeviceFlowUsage.stat_month >= since.strftime("%Y-%m"))
+            .where(DeviceFlowUsageClean.stat_month >= since.strftime("%Y-%m"))
-            .where(DeviceFlowUsage.stat_month <= end.strftime("%Y-%m"))
+            .where(DeviceFlowUsageClean.stat_month <= end.strftime("%Y-%m"))
         )
     }
     return rc | fl
@@ -126,32 +124,32 @@ def _fetch_recharge_by_dim(db: Session, dim: str, since: datetime, end: datetime
     修复前 CategoryBoard 充值金额虚高 ~2.4 倍。
     """
     # 质检套餐排除条件(出厂质检, 非用户付费)
-    not_qc = DeviceCombo.package_name.notilike("%质检%")
+    not_qc = DeviceComboClean.package_name.notilike("%质检%")
     if dim == "device_type":
         stmt = (
             select(
                 Device.device_type.label("key"),
                 func.count().label("cnt"),
-                func.coalesce(func.sum(DeviceCombo.actual_amount), 0).label("amount"),
+                func.coalesce(func.sum(DeviceComboClean.actual_amount), 0).label("amount"),
             )
-            .select_from(DeviceCombo)
+            .select_from(DeviceComboClean)
-            .join(Device, Device.sn == DeviceCombo.device_sn)
+            .join(Device, Device.sn == DeviceComboClean.device_sn)
-            .where(DeviceCombo.created_at_raw >= since)
+            .where(DeviceComboClean.created_at_raw >= since)
-            .where(DeviceCombo.created_at_raw <= end)
+            .where(DeviceComboClean.created_at_raw <= end)
             .where(not_qc)
             .group_by(Device.device_type)
         )
     elif dim == "combo":
         stmt = (
             select(
-                DeviceCombo.package_name.label("key"),
+                DeviceComboClean.package_name.label("key"),
                 func.count().label("cnt"),
-                func.coalesce(func.sum(DeviceCombo.actual_amount), 0).label("amount"),
+                func.coalesce(func.sum(DeviceComboClean.actual_amount), 0).label("amount"),
             )
-            .where(DeviceCombo.created_at_raw >= since)
+            .where(DeviceComboClean.created_at_raw >= since)
-            .where(DeviceCombo.created_at_raw <= end)
+            .where(DeviceComboClean.created_at_raw <= end)
             .where(not_qc)
-            .group_by(DeviceCombo.package_name)
+            .group_by(DeviceComboClean.package_name)
         )
     elif dim == "merchant":
         # #271: 走 devices.merchant_name（links/merchants 表全空）
@@ -159,12 +157,12 @@ def _fetch_recharge_by_dim(db: Session, dim: str, since: datetime, end: datetime
             select(
                 Device.merchant_name.label("key"),
                 func.count().label("cnt"),
-                func.coalesce(func.sum(DeviceCombo.actual_amount), 0).label("amount"),
+                func.coalesce(func.sum(DeviceComboClean.actual_amount), 0).label("amount"),
             )
-            .select_from(DeviceCombo)
+            .select_from(DeviceComboClean)
-            .join(Device, Device.sn == DeviceCombo.device_sn)
+            .join(Device, Device.sn == DeviceComboClean.device_sn)
-            .where(DeviceCombo.created_at_raw >= since)
+            .where(DeviceComboClean.created_at_raw >= since)
-            .where(DeviceCombo.created_at_raw <= end)
+            .where(DeviceComboClean.created_at_raw <= end)
             .where(not_qc)
             .where(Device.merchant_name.isnot(None))
             .group_by(Device.merchant_name)
@@ -200,7 +198,7 @@ def _fetch_refund_by_dim(db: Session, dim: str, since: datetime, end: datetime)
             .group_by(Device.device_type)
         )
     elif dim == "combo":
-        # #270: 去掉 JOIN device_combos（充值流水一对多导致退款重复计数 2.5x），
+        # #270: 去掉对充值流水表的 JOIN（充值流水一对多导致退款重复计数 2.5x），
         # 改按 Device.current_combo_name 分组（与设备数/活跃同口径）
         stmt = (
             select(Device.current_combo_name.label("key"), func.count().label("cnt"))
@@ -243,7 +241,7 @@ def _fetch_complaint_by_dim(db: Session, dim: str, since: datetime, end: datetim
             .group_by(Device.device_type)
         )
     elif dim == "combo":
-        # #270: 同退款修复，去掉 JOIN device_combos 放大，按 current_combo_name 分组
+        # #270: 同退款修复，去掉对充值流水表的 JOIN 放大，按 current_combo_name 分组
         stmt = (
             select(Device.current_combo_name.label("key"), func.count().label("cnt"))
             .select_from(ServiceTicket)

backend/app/services/analytics/complaint.py

@@ -7,12 +7,10 @@ from typing import Any
 from sqlalchemy import and_, case, func, or_, select, text
 from sqlalchemy.orm import Session
 
-from app.models.bms_order import BmsOrder
 from app.models.combo_dict import ComboDict, ComboNameAlias
-from app.models.cs_record import CsRecord
 from app.models.device import Device, DimDeviceType
 from app.models.merchant import DeviceMerchantLink, Merchant
-from app.models.refund import RefundClean
+from app.models.ods_clean import BmsOrderClean, CsRecordClean, RefundClean
 from app.models.shop import DeviceShopLink, Shop
 from app.models.ticket import ServiceTicket
 from app.services.complaint_scope import (
@@ -368,10 +366,10 @@ def complaint_health_metrics(
     # 口径: 窗口内 `cs_records.operation_time` 命中的去重 `device_sn`
     active_sn = int(
         db.scalar(
-            select(func.count(func.distinct(CsRecord.device_sn))).where(
+            select(func.count(func.distinct(CsRecordClean.device_sn))).where(
-                CsRecord.operation_time >= ts,
+                CsRecordClean.operation_time >= ts,
-                CsRecord.operation_time <= te,
+                CsRecordClean.operation_time <= te,
-                CsRecord.device_sn.isnot(None),
+                CsRecordClean.device_sn.isnot(None),
             )
         )
         or 0
@@ -449,13 +447,13 @@ def complaint_health_metrics(
 
     # 客服接待数（按操作人，取接待会话数）
     reception_rows = db.execute(
-        select(CsRecord.operator, func.count())
+        select(CsRecordClean.operator, func.count())
         .where(
-            CsRecord.operation_time >= ts,
+            CsRecordClean.operation_time >= ts,
-            CsRecord.operation_time <= te,
+            CsRecordClean.operation_time <= te,
-            CsRecord.operator.isnot(None),
+            CsRecordClean.operator.isnot(None),
         )
-        .group_by(CsRecord.operator)
+        .group_by(CsRecordClean.operator)
     ).all()
 
     # 在岗人数（按 bucket）—— 只统计**有别名**的人，避免重复
@@ -894,11 +892,11 @@ def complaint_extended_dims(
     #    无激活记录优先判定, NULL 天数不会误落首桶(与 _active_age_bucket Python 侧同序)。
     fa_cte = (
         select(
-            BmsOrder.device_sn.label("dsn"),
+            BmsOrderClean.device_sn.label("dsn"),
-            func.min(BmsOrder.active_date).label("fa"),
+            func.min(BmsOrderClean.active_date).label("fa"),
         )
-        .where(BmsOrder.device_sn.isnot(None), BmsOrder.active_date.isnot(None))
+        .where(BmsOrderClean.device_sn.isnot(None), BmsOrderClean.active_date.isnot(None))
-        .group_by(BmsOrder.device_sn)
+        .group_by(BmsOrderClean.device_sn)
     ).cte("first_active")
     days_expr = (
         func.date(ServiceTicket.register_time.op("AT TIME ZONE")("Asia/Shanghai"))

backend/app/services/analytics/reception.py

@@ -6,10 +6,9 @@ from typing import Any
 from sqlalchemy import and_, case, func, select, text
 from sqlalchemy.orm import Session
 
-from app.models.cs_record import CsRecord
 from app.models.group import Group, PersonGroupMembership
+from app.models.ods_clean import CsRecordClean, RefundClean
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
 from app.models.ticket import ServiceTicket
 
 # 跨子模块引用(拆分自 app.services.analytics, 原同文件内直接调用)
@@ -228,7 +227,7 @@ def _category_case():
     for bucket, keywords in _CATEGORY_BUCKETS[:-1]:  # 除最后一项"其他问题"(兜底)
         if keywords:
             for kw in keywords:
-                whens.append((CsRecord.problem_category.ilike(f"%{kw}%"), bucket))
+                whens.append((CsRecordClean.problem_category.ilike(f"%{kw}%"), bucket))
     fallback = _CATEGORY_BUCKETS[-1][0]  # "其他问题"
     return case(*whens, else_=fallback).label("category_bucket")
 
@@ -289,16 +288,16 @@ def reception_overview_trend(
     - per_capita_daily: 人均接待量/天 = reception_total / staff_count / day_count
     """
     start, end = _date_range(start, end)
-    week_trunc = func.date_trunc("week", CsRecord.operation_time).label("week_start")
+    week_trunc = func.date_trunc("week", CsRecordClean.operation_time).label("week_start")
     rows = db.execute(
         select(
             week_trunc,
-            func.to_char(func.date_trunc("week", CsRecord.operation_time), "IW").label("week_no"),
+            func.to_char(func.date_trunc("week", CsRecordClean.operation_time), "IW").label("week_no"),
             func.count().label("total"),
-            func.count(func.distinct(func.to_char(CsRecord.operation_time, "YYYY-MM-DD"))).label("day_count"),
+            func.count(func.distinct(func.to_char(CsRecordClean.operation_time, "YYYY-MM-DD"))).label("day_count"),
-            func.count(func.distinct(CsRecord.operator)).filter(CsRecord.operator.isnot(None)).label("staff_count"),
+            func.count(func.distinct(CsRecordClean.operator)).filter(CsRecordClean.operator.isnot(None)).label("staff_count"),
         )
-        .where(CsRecord.operation_time.between(start, end))
+        .where(CsRecordClean.operation_time.between(start, end))
         .group_by("week_start")
         .order_by("week_start")
     ).all()
@@ -327,16 +326,16 @@ def reception_category_summary(
     输出: [{week_start, week_no, 投诉, 退款, 其他问题, 套餐问题, 咨询, 综合问题}]
     """
     start, end = _date_range(start, end)
-    week_trunc = func.date_trunc("week", CsRecord.operation_time).label("week_start")
+    week_trunc = func.date_trunc("week", CsRecordClean.operation_time).label("week_start")
     bucket = _category_case()
     rows = db.execute(
         select(
             week_trunc,
-            func.to_char(func.date_trunc("week", CsRecord.operation_time), "IW").label("week_no"),
+            func.to_char(func.date_trunc("week", CsRecordClean.operation_time), "IW").label("week_no"),
             bucket,
             func.count().label("cnt"),
         )
-        .where(CsRecord.operation_time.between(start, end))
+        .where(CsRecordClean.operation_time.between(start, end))
         .group_by("week_start", "category_bucket")
         .order_by("week_start", "category_bucket")
     ).all()
@@ -376,13 +375,13 @@ def reception_per_capita(
     # 步骤1: 按周 × operator × bucket 聚合每人每类接待数
     op_cat_rows = db.execute(
         select(
-            func.date_trunc("week", CsRecord.operation_time).label("week_start"),
+            func.date_trunc("week", CsRecordClean.operation_time).label("week_start"),
-            func.to_char(func.date_trunc("week", CsRecord.operation_time), "IW").label("week_no"),
+            func.to_char(func.date_trunc("week", CsRecordClean.operation_time), "IW").label("week_no"),
-            CsRecord.operator.label("operator"),
+            CsRecordClean.operator.label("operator"),
             bucket,
             func.count().label("cnt"),
         )
-        .where(CsRecord.operation_time.between(start, end), CsRecord.operator.isnot(None))
+        .where(CsRecordClean.operation_time.between(start, end), CsRecordClean.operator.isnot(None))
         .group_by("week_start", "week_no", "operator", "category_bucket")
     ).all()
 
@@ -510,18 +509,18 @@ def reception_group_detail(
     bucket = _category_case()
     rows = db.execute(
         select(
-            CsRecord.operator.label("operator"),
+            CsRecordClean.operator.label("operator"),
             op_person.c.display_name.label("display_name"),
             op_person.c.group_name.label("group_name"),
             op_person.c.specialty.label("specialty"),
-            func.to_char(CsRecord.operation_time, "YYYY-MM-DD").label("day"),
+            func.to_char(CsRecordClean.operation_time, "YYYY-MM-DD").label("day"),
             bucket,
             func.count().label("cnt"),
         )
-        .outerjoin(op_person, CsRecord.operator == op_person.c.operator)
+        .outerjoin(op_person, CsRecordClean.operator == op_person.c.operator)
-        .where(CsRecord.operation_time.between(start, end), CsRecord.operator.isnot(None))
+        .where(CsRecordClean.operation_time.between(start, end), CsRecordClean.operator.isnot(None))
         .group_by(
-            CsRecord.operator,
+            CsRecordClean.operator,
             op_person.c.display_name,
             op_person.c.group_name,
             op_person.c.specialty,

backend/app/services/analytics/refund.py

@@ -22,7 +22,6 @@ from typing import Any
 from sqlalchemy import and_, func, select, text
 from sqlalchemy.orm import Session
 
-from app.models.manual_refund import ManualRefund
 from app.models.person import Person, PersonAlias
 
 logger = logging.getLogger(__name__)
@@ -157,13 +156,13 @@ def _refund_recovery_core(db: Session, ts, te) -> dict:
         if info["is_recovery_staff"]:
             recovery_ops[op] = info
 
-    # ---- 3. 分母SN (cs_records problem_category='退款') ----
+    # ---- 3. 分母SN (cs_record_clean problem_category='退款') ----
     cs_refund_sn_sql = text(
         """
         SELECT c.operator AS op, c.device_sn AS sn,
                c.operation_time AS op_time,
                c.problem_type AS problem_type
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND NOT (c.operator = ANY(:sys_bl))
@@ -265,7 +264,7 @@ def _refund_recovery_core(db: Session, ts, te) -> dict:
                    'cs_kw' AS src, LEFT(COALESCE(c.description,''),100) AS reason,
                    0 AS amount, '退款流程' AS status, 'cs_record关键词' AS method,
                    c.operation_time AS event_time
-            FROM cs_records c
+            FROM cs_record_clean c
             JOIN host_sns hs ON c.device_sn = hs.sn
             WHERE c.operation_time IS NOT NULL
               AND c.device_sn IS NOT NULL
@@ -455,7 +454,7 @@ def refund_personnel_analysis(
     for r in db.execute(text(
         """
         SELECT c.operator AS op, MIN(c.operation_time) AS first_t, MAX(c.operation_time) AS last_t
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND NOT (c.operator = ANY(:sys_bl))
@@ -536,7 +535,7 @@ def refund_person_devices(
         SELECT c.device_sn AS sn,
                MIN(c.operation_time) AS first_t, MAX(c.operation_time) AS last_t,
                COUNT(*) AS cnt
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND c.operator = :op
@@ -637,7 +636,7 @@ def refund_personnel_trend(
             """
             SELECT c.operator AS op, c.device_sn AS sn,
                    DATE_TRUNC('week', c.operation_time AT TIME ZONE 'Asia/Shanghai')::date AS wk
-            FROM cs_records c
+            FROM cs_record_clean c
             WHERE c.operation_time IS NOT NULL
               AND c.operation_time >= :ts AND c.operation_time <= :te
               AND NOT (c.operator = ANY(:sys_bl))
@@ -655,7 +654,7 @@ def refund_personnel_trend(
             """
             SELECT c.operator AS op, c.device_sn AS sn,
                    DATE(c.operation_time AT TIME ZONE 'Asia/Shanghai') AS d
-            FROM cs_records c
+            FROM cs_record_clean c
             WHERE c.operation_time IS NOT NULL
               AND c.operation_time >= :ts AND c.operation_time <= :te
               AND NOT (c.operator = ANY(:sys_bl))
@@ -785,7 +784,7 @@ def refund_device_analysis(
     for r in db.execute(text(
         """
         SELECT c.device_sn AS sn, COUNT(*) AS cnt
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND c.problem_category = '退款'
@@ -834,7 +833,7 @@ def refund_device_analysis(
     for r in db.execute(text(
         """
         SELECT c.device_sn AS sn, COUNT(DISTINCT c.operator) AS op_cnt
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND c.problem_category = '退款'
@@ -895,7 +894,7 @@ def refund_device_detail(
         """
         SELECT c.operation_time, c.operator, c.problem_type, c.description,
                c.execution_result, c.solution, c.consult_time
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND c.device_sn = :sn
@@ -959,7 +958,7 @@ def refund_device_detail(
     for r in db.execute(text(
         """
         SELECT w.id, w.op_time, w.op_amount, w.op_type
-        FROM wallet_withdrawals w
+        FROM wallet_withdrawal_clean w
         WHERE w.device_sn = :sn AND w.op_time IS NOT NULL
         ORDER BY w.op_time DESC LIMIT 10
         """
@@ -1033,7 +1032,7 @@ def refund_type_trend(
         f"""
         SELECT {date_col} AS d, c.device_sn AS sn,
                c.problem_type, c.operator
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND NOT (c.operator = ANY(:sys_bl))
@@ -1110,7 +1109,7 @@ def refund_decision_overview(
     wallet_rows = db.execute(text(f"""
         SELECT {_day("w.op_time")} AS d, w.op_type,
                count(*) AS cnt, COALESCE(sum(w.op_amount), 0) AS amt
-        FROM wallet_withdrawals w
+        FROM wallet_withdrawal_clean w
         WHERE w.op_time >= :ts AND w.op_time <= :te
           AND w.op_type IN ('订单退费转入', '用户提现', '系统扣费')
           AND {_withdraw_fail_remark_sql_cond()}
@@ -1323,7 +1322,7 @@ def refund_decision_overview(
     wd_rows = db.execute(text(f"""
         SELECT {_day("COALESCE(w.actual_refund_time, w.op_time)")} AS d,
                count(*) AS cnt, COALESCE(sum(w.op_amount), 0) AS amt
-        FROM wallet_withdrawals w
+        FROM wallet_withdrawal_clean w
         WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts AND COALESCE(w.actual_refund_time, w.op_time) <= :te AND w.op_type = '用户提现'
           AND {_withdraw_fail_remark_sql_cond()}
           AND {stats_quality_excluded_sql('w.quality_status')}
@@ -1334,31 +1333,31 @@ def refund_decision_overview(
     sm_rows = db.execute(text(f"""
         SELECT {_day("COALESCE(s.refund_time, s.audit_time, s.created_at)")} AS d,
                count(*) AS cnt, COALESCE(sum(COALESCE(s.actual_amount, s.refund_amount, 0)), 0) AS amt
-        FROM shanmao_refunds s
+        FROM shanmao_refund_clean s
         WHERE COALESCE(s.refund_time, s.audit_time, s.created_at) >= :ts
           AND COALESCE(s.refund_time, s.audit_time, s.created_at) <= :te
           AND s.status = '已退款'
           AND {stats_quality_excluded_sql('s.quality_status')}
         GROUP BY 1
     """), {"ts": cur_s, "te": cur_e}).fetchall()
-    # D 手动退款 (manual_refunds, is_refunded='是'; 对账归日用实际扣款时间 actual_refund_time(2026-09-09 E回填),
+    # D 手动退款 (manual_refund_clean, is_refunded='是'; 对账归日用实际扣款时间 actual_refund_time(2026-09-09 E回填),
     #    缺失回退 op_time/register_time; 排除 dup_residual/ignored → 经营口径不与重复/忽略行虚高; A-20260909-001)
     _d_excl_q = _quality_exclude_sql(db)
     d_rows = db.execute(text(f"""
         SELECT {_day("COALESCE(m.actual_refund_time, m.op_time, m.register_time)")} AS d,
                count(*) AS cnt, COALESCE(sum(m.refund_amount), 0) AS amt
-        FROM manual_refunds m
+        FROM manual_refund_clean m
         WHERE COALESCE(m.actual_refund_time, m.op_time, m.register_time) >= :ts
           AND COALESCE(m.actual_refund_time, m.op_time, m.register_time) <= :te
           AND m.is_refunded = '是'
           {"AND " + _EXCL_QSTATUS_SQL if _d_excl_q else ''}
         GROUP BY 1
     """), {"ts": cur_s, "te": cur_e}).fetchall()
-    # E 实际现金流 (refund_record_reports 退款成功, 对账基准, 独立展示不与四路累加)
+    # E 实际现金流 (refund_record_report_clean 退款成功, 对账基准, 独立展示不与四路累加)
     e_rows = db.execute(text(f"""
         SELECT {_day("e.refund_time")} AS d,
                count(*) AS cnt, COALESCE(sum(e.refund_amount), 0) AS amt
-        FROM refund_record_reports e
+        FROM refund_record_report_clean e
         WHERE e.refund_time >= :ts AND e.refund_time <= :te
           AND e.refund_status IN ('退款成功', '成功', 'SUCCESS')
         GROUP BY 1
@@ -1415,7 +1414,7 @@ def refund_decision_overview(
         # #201 S-P0-1：B 路窗口汇总补 dup_residual/ignored 排除
         for r in db.execute(text(f"""
             SELECT count(*) AS cnt, COALESCE(sum(op_amount), 0) AS amt
-            FROM wallet_withdrawals w WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts
+            FROM wallet_withdrawal_clean w WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts
               AND COALESCE(w.actual_refund_time, w.op_time) <= :te AND w.op_type = '用户提现'
               AND {_withdraw_fail_remark_sql_cond()}
               AND {stats_quality_excluded_sql('w.quality_status')}
@@ -1424,7 +1423,7 @@ def refund_decision_overview(
         # #201 S-P0-1：C 路窗口汇总补 dup_residual/ignored 排除
         for r in db.execute(text(f"""
             SELECT count(*) AS cnt, COALESCE(sum(COALESCE(actual_amount, refund_amount, 0)), 0) AS amt
-            FROM shanmao_refunds s
+            FROM shanmao_refund_clean s
             WHERE COALESCE(s.refund_time, s.audit_time, s.created_at) >= :ts
               AND COALESCE(s.refund_time, s.audit_time, s.created_at) <= :te
               AND s.status = '已退款'
@@ -1434,17 +1433,17 @@ def refund_decision_overview(
         # D 手动退款 (is_refunded='是'; 归日=actual_refund_time 优先(实际扣款); 排除 dup_residual/ignored 已治理行)
         for r in db.execute(text(f"""
             SELECT count(*) AS cnt, COALESCE(sum(refund_amount), 0) AS amt
-            FROM manual_refunds m
+            FROM manual_refund_clean m
             WHERE COALESCE(m.actual_refund_time, m.op_time, m.register_time) >= :ts
               AND COALESCE(m.actual_refund_time, m.op_time, m.register_time) <= :te
               AND m.is_refunded = '是'
               {"AND " + _EXCL_QSTATUS_SQL if _d_excl_q else ''}
         """), {"ts": s, "te": e}).fetchall():
             tot["d_cnt"] += int(r.cnt or 0); tot["d_amt"] += D(r.amt)
-        # E 实际现金流 (refund_record_reports 退款成功, 对账基准)
+        # E 实际现金流 (refund_record_report_clean 退款成功, 对账基准)
         for r in db.execute(text("""
             SELECT count(*) AS cnt, COALESCE(sum(refund_amount), 0) AS amt
-            FROM refund_record_reports e
+            FROM refund_record_report_clean e
             WHERE e.refund_time >= :ts AND e.refund_time <= :te
               AND e.refund_status IN ('退款成功', '成功', 'SUCCESS')
         """), {"ts": s, "te": e}).fetchall():
@@ -1475,14 +1474,14 @@ def refund_decision_overview(
     mreg_rows = db.execute(text(f"""
         SELECT {_day("m.register_time")} AS d,
                count(*) AS cnt, COALESCE(sum(m.refund_amount), 0) AS amt
-        FROM manual_refunds m
+        FROM manual_refund_clean m
         WHERE m.register_time >= :ts AND m.register_time <= :te
         GROUP BY 1 ORDER BY 1
     """), {"ts": cur_s, "te": cur_e}).fetchall()
     mdone_rows = db.execute(text(f"""
         SELECT {_day("COALESCE(m.op_time, m.register_time)")} AS d,
                count(*) AS cnt, COALESCE(sum(m.refund_amount), 0) AS amt
-        FROM manual_refunds m
+        FROM manual_refund_clean m
         WHERE COALESCE(m.op_time, m.register_time) >= :ts AND COALESCE(m.op_time, m.register_time) <= :te
           AND m.is_refunded = '是'
         GROUP BY 1 ORDER BY 1
@@ -1504,10 +1503,10 @@ def refund_decision_overview(
         manual_water["net"].append(float(round(net, 2)))
         manual_water["cum_net"].append(float(round(m_cum, 2)))
 
-    # E 数据最新日(refund_record_reports 持续采集, 显示其最新退款日作参考)
+    # E 数据最新日(refund_record_report_clean 持续采集, 显示其最新退款日作参考)
     e_data_until = None
     e_max = db.execute(text(
-        "SELECT max(refund_time) FROM refund_record_reports "
+        "SELECT max(refund_time) FROM refund_record_report_clean "
         "WHERE refund_status IN ('退款成功', '成功', 'SUCCESS')"
     )).scalar()
     if e_max is not None:
@@ -1585,12 +1584,12 @@ def refund_decision_overview(
         + m_note
     )
 
-    # ── #309 窗口充值(真实现金流充入): device_combos 按 created_at_raw 落窗,
+    # ── #309 窗口充值(真实现金流充入): device_combo_clean 按 created_at_raw 落窗,
     #     剔除工厂质检专用套餐流水(package_name 含「质检」), 与今日看板充值卡/
     #     分品类运营看板 #293 同一判据。用于「退款 vs 充值」资金对照。
     _rc = db.execute(text("""
         SELECT count(*) AS cnt, COALESCE(sum(dc.actual_amount), 0) AS amt
-        FROM device_combos dc
+        FROM device_combo_clean dc
         WHERE dc.created_at_raw >= :ts AND dc.created_at_raw <= :te
           AND dc.package_name NOT ILIKE '%质检%'
     """), {"ts": cur_s, "te": cur_e}).first()
@@ -1661,7 +1660,7 @@ def refund_decision_overview(
         SELECT w.device_sn AS sn, w.op_amount AS amt,
                COALESCE(w.actual_refund_time, w.op_time) AS ev,
                NULL::text AS pkg
-        FROM wallet_withdrawals w
+        FROM wallet_withdrawal_clean w
         WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts
           AND COALESCE(w.actual_refund_time, w.op_time) <= :te
           AND w.op_type = '用户提现'
@@ -1670,12 +1669,12 @@ def refund_decision_overview(
     """), {"ts": cur_s, "te": cur_e}).fetchall():
         route_item_rows.append(("B 钱包提现", r.sn, D(r.amt), r.ev, r.pkg))
     # C 闪猫退款: 已退款+排除已治理行; 金额=实际→申请; 归日=退款→审核→创建
-    # #311 方案A: pkg=shanmao_refunds.package_name(闪猫侧套餐名)
+    # #311 方案A: pkg=shanmao_refund_clean.package_name(闪猫侧套餐名)
     for r in db.execute(text(f"""
         SELECT s.device_sn AS sn, COALESCE(s.actual_amount, s.refund_amount, 0) AS amt,
                COALESCE(s.refund_time, s.audit_time, s.created_at) AS ev,
                s.package_name AS pkg
-        FROM shanmao_refunds s
+        FROM shanmao_refund_clean s
         WHERE COALESCE(s.refund_time, s.audit_time, s.created_at) >= :ts
           AND COALESCE(s.refund_time, s.audit_time, s.created_at) <= :te
           AND s.status = '已退款'
@@ -1683,12 +1682,12 @@ def refund_decision_overview(
     """), {"ts": cur_s, "te": cur_e}).fetchall():
         route_item_rows.append(("C 闪猫退款", r.sn, D(r.amt), r.ev, r.pkg))
     # D 手动退款: is_refunded='是'+排除已治理行(_d_excl_q 见区块1); 归日=实际扣款→操作→登记
-    # D 路 manual_refunds 无 package_name 字段(商户号后台退款台账无套餐), pkg=NULL, 走 dd_attrs.combo 回落
+    # D 路 manual_refund_clean 无 package_name 字段(商户号后台退款台账无套餐), pkg=NULL, 走 dd_attrs.combo 回落
     for r in db.execute(text(f"""
         SELECT m.device_sn AS sn, m.refund_amount AS amt,
                COALESCE(m.actual_refund_time, m.op_time, m.register_time) AS ev,
                NULL::text AS pkg
-        FROM manual_refunds m
+        FROM manual_refund_clean m
         WHERE COALESCE(m.actual_refund_time, m.op_time, m.register_time) >= :ts
           AND COALESCE(m.actual_refund_time, m.op_time, m.register_time) <= :te
           AND m.is_refunded = '是'
@@ -1724,12 +1723,12 @@ def refund_decision_overview(
     # devices 表外的少量 SN(dd_attrs 无行): 仍按 bms MIN(active_date) 并集兜底, 不误归「无激活记录」
     _no_dev = {sn for (_rk, sn, _a, _e, _p) in route_item_rows if sn and sn not in dd_attrs}
     if _no_dev:
-        from app.models.bms_order import BmsOrder  # 局部导入(与 _core 同法, 防循环依赖)
+        from app.models.ods_clean import BmsOrderClean  # 局部导入(与 _core 同法, 防循环依赖)
 
         for sn, fa in db.execute(
-            select(BmsOrder.device_sn, func.min(BmsOrder.active_date))
+            select(BmsOrderClean.device_sn, func.min(BmsOrderClean.active_date))
-            .where(BmsOrder.device_sn.in_(_no_dev), BmsOrder.active_date.isnot(None))
+            .where(BmsOrderClean.device_sn.in_(_no_dev), BmsOrderClean.active_date.isnot(None))
-            .group_by(BmsOrder.device_sn)
+            .group_by(BmsOrderClean.device_sn)
         ).all():
             if fa is not None:
                 # active_date 为 timestamptz: naive 按 UTC 读入转上海; 与 _device_dim_attrs 同法
@@ -1862,90 +1861,6 @@ def refund_decision_overview(
     }
 
 
-
-# ---------- 手动退款登记 数据质量审核 (L3: 自动纠错记录 + 待人工确认) ----------
-def _mr_quality_out(r: ManualRefund) -> dict[str, Any]:
-    """手动退款登记行 → 质量审核输出"""
-    def _sh(dt):
-        return dt.astimezone(TZ).strftime("%Y-%m-%d %H:%M:%S") if dt else None
-    return {
-        "id": r.id,
-        "register_time": _sh(r.register_time),
-        "op_time": _sh(r.op_time),
-        "is_refunded": r.is_refunded,
-        "refund_amount": float(r.refund_amount or 0),
-        "order_amount": float(r.order_amount or 0),
-        "device_sn": r.device_sn,
-        "order_no": r.order_no,
-        "merchant_id": r.merchant_id,
-        "registrant": r.registrant,
-        "refund_operator": r.refund_operator,
-        "remark": r.remark,
-        "quality_status": r.quality_status,
-        "quality_note": r.quality_note,
-    }
-
-def manual_refund_quality_list(db: Session, status: str = "all", page: int = 1, page_size: int = 50) -> dict[str, Any]:
-    """手动退款登记质量审核列表: status = all/pending/auto_fixed/ok
-
-    统计摘要: 各状态计数(供前端徽标)。列表按登记日期倒序。
-    """
-    summary = {}
-    for st in ("pending", "auto_fixed", "ok"):
-        summary[st] = db.scalar(
-            select(func.count()).select_from(ManualRefund).where(ManualRefund.quality_status == st)
-        ) or 0
-    q = select(ManualRefund)
-    if status in ("pending", "auto_fixed", "ok"):
-        q = q.where(ManualRefund.quality_status == status)
-    total = db.scalar(select(func.count()).select_from(q.subquery())) or 0
-    rows = db.execute(
-        q.order_by(ManualRefund.register_time.desc())
-        .offset((page - 1) * page_size).limit(page_size)
-    ).scalars().all()
-    return {"total": total, "summary": summary,
-            "list": [_mr_quality_out(r) for r in rows]}
-
-def manual_refund_quality_confirm(db: Session, rid: int) -> dict[str, Any]:
-    """人工确认通过: quality_status → ok (保留纠错说明, 追加确认标记)"""
-    r = db.get(ManualRefund, rid)
-    if not r:
-        raise ValueError(f"手动退款记录不存在: id={rid}")
-    r.quality_status = "ok"
-    r.quality_note = ((r.quality_note or "") + " | 人工确认通过") if r.quality_note else "人工确认通过"
-    db.commit()
-    return {"id": rid, "quality_status": "ok"}
-
-def manual_refund_quality_fix(db: Session, rid: int, payload: dict[str, Any]) -> dict[str, Any]:
-    """人工修正: 更新指定字段(register_time/op_time/is_refunded/refund_amount/order_no/device_sn等),
-    修正后置 ok。仅接受白名单字段, 时间字段支持 'YYYY-MM-DD' / 'YYYY-MM-DD HH:MM:SS' / ISO 格式。
-    """
-    r = db.get(ManualRefund, rid)
-    if not r:
-        raise ValueError(f"手动退款记录不存在: id={rid}")
-    allowed = {"register_time", "op_time", "is_refunded", "refund_amount", "order_amount",
-               "order_no", "device_sn", "merchant_id", "registrant", "refund_operator", "remark"}
-    changes = []
-    for k, v in (payload or {}).items():
-        if k not in allowed or v is None:
-            continue
-        if k in ("register_time", "op_time"):
-            setattr(r, k, _dt.datetime.fromisoformat(str(v)) if isinstance(v, str) and "T" in str(v)
-                    else _dt.datetime.strptime(str(v), "%Y-%m-%d %H:%M:%S")
-                    if isinstance(v, str) and len(str(v)) > 10
-                    else _dt.datetime.strptime(str(v), "%Y-%m-%d"))
-            changes.append(k)
-        elif k in ("refund_amount", "order_amount"):
-            setattr(r, k, D(v))
-            changes.append(k)
-        else:
-            setattr(r, k, str(v))
-            changes.append(k)
-    r.quality_status = "ok"
-    r.quality_note = ((r.quality_note or "") + f" | 人工修正字段: {','.join(changes)}") if changes else (r.quality_note or "")
-    db.commit()
-    return {"id": rid, "quality_status": "ok", "changed": changes}
-
 def refund_export_original(
     db: Session, start: str | None = None, end: str | None = None,
     online_refunded_only: bool = False,
@@ -2068,10 +1983,10 @@ def refund_export_all(
 
     明细 sheet(2026-09-09 放宽为台账原始, 人工分析用, 不砍状态/类型行, 附状态列自筛):
     - A退费单明细(全量): refunds 全部(线上直退/线下/转入提现账户/未填写 + 驳回/无需退款/空白), 时间=created_at_raw
-    - B钱包流水明细(全量): wallet_withdrawals 全部 op_type(用户提现/订单退费转入/系统扣费), 时间=op_time
+    - B钱包流水明细(全量): wallet_withdrawal_clean 全部 op_type(用户提现/订单退费转入/系统扣费), 时间=op_time
-    - C闪猫退款明细(全量): shanmao_refunds 全部状态, 时间=COALESCE(audit_time, created_at)
+    - C闪猫退款明细(全量): shanmao_refund_clean 全部状态, 时间=COALESCE(audit_time, created_at)
-    - D手动退款明细(全量): manual_refunds 全部(is_refunded 是/否), 时间=COALESCE(op_time, register_time)
+    - D手动退款明细(全量): manual_refund_clean 全部(is_refunded 是/否), 时间=COALESCE(op_time, register_time)
-    - E退款记录报表(全量): refund_record_reports 全部 refund_status, 时间=refund_time
+    - E退款记录报表(全量): refund_record_report_clean 全部 refund_status, 时间=refund_time
 
     汇总 sheet(五路汇总(A-E))保持成功口径, 与 refund_decision_overview.routes_daily 一致:
     - A 线上直退: refund_method='线上' AND status='已退款'
@@ -2098,7 +2013,7 @@ def refund_export_all(
     # 含失败/冻结备注; 附"操作类型/备注"列供人工筛出真实出款; 2026-09-09 放宽)
     b_rows = db.execute(text("""
         SELECT account_id, device_sn, op_type, op_amount, wallet_balance, operator, op_time, remark
-        FROM wallet_withdrawals w
+        FROM wallet_withdrawal_clean w
         WHERE w.op_time >= :ts AND w.op_time <= :te
         ORDER BY w.op_time
     """), {"ts": cur_s, "te": cur_e}).fetchall()
@@ -2118,7 +2033,7 @@ def refund_export_all(
         SELECT refund_no, order_no, device_sn, phone, paid_amount, refund_amount, actual_amount,
                package_name, merchant_name, refund_reason, refund_method, status,
                applicant, auditor, operator, apply_time, audit_time, refund_time, remark, audit_remark
-        FROM shanmao_refunds
+        FROM shanmao_refund_clean
         WHERE COALESCE(audit_time, created_at) >= :ts AND COALESCE(audit_time, created_at) <= :te
         ORDER BY COALESCE(audit_time, created_at)
     """), {"ts": cur_s, "te": cur_e}).fetchall()
@@ -2150,7 +2065,7 @@ def refund_export_all(
     d_rows = db.execute(text("""
         SELECT register_time, device_sn, order_no, merchant_id, order_amount, refund_amount,
                registrant, is_refunded, refund_operator, op_time, remark, quality_status
-        FROM manual_refunds
+        FROM manual_refund_clean
         WHERE COALESCE(op_time, register_time) >= :ts AND COALESCE(op_time, register_time) <= :te
         ORDER BY COALESCE(op_time, register_time)
     """), {"ts": cur_s, "te": cur_e}).fetchall()
@@ -2173,7 +2088,7 @@ def refund_export_all(
     e_rows = db.execute(text("""
         SELECT platform_order_no, wx_order_no, merchant_id, merchant_name, device_sn,
                product_name, refund_time, apply_refund_amount, refund_amount, refund_status
-        FROM refund_record_reports
+        FROM refund_record_report_clean
         WHERE refund_time >= :ts AND refund_time <= :te
         ORDER BY refund_time
     """), {"ts": cur_s, "te": cur_e}).fetchall()
@@ -2205,7 +2120,7 @@ def refund_export_all(
             GROUP BY 1"""),
         ("B 钱包提现", f"""
             SELECT {_day("COALESCE(w.actual_refund_time, w.op_time)")} AS d, count(*) AS cnt, COALESCE(sum(w.op_amount), 0) AS amt
-            FROM wallet_withdrawals w WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts
+            FROM wallet_withdrawal_clean w WHERE COALESCE(w.actual_refund_time, w.op_time) >= :ts
               AND COALESCE(w.actual_refund_time, w.op_time) <= :te AND w.op_type = '用户提现'
               AND {_withdraw_fail_remark_sql_cond()}
               AND {stats_quality_excluded_sql('w.quality_status')}
@@ -2213,7 +2128,7 @@ def refund_export_all(
         ("C 闪猫退款", f"""
             SELECT {_day("COALESCE(s.refund_time, s.audit_time, s.created_at)")} AS d, count(*) AS cnt,
                    COALESCE(sum(COALESCE(s.actual_amount, s.refund_amount, 0)), 0) AS amt
-            FROM shanmao_refunds s
+            FROM shanmao_refund_clean s
             WHERE COALESCE(s.refund_time, s.audit_time, s.created_at) >= :ts
               AND COALESCE(s.refund_time, s.audit_time, s.created_at) <= :te
               AND s.status = '已退款'
@@ -2222,7 +2137,7 @@ def refund_export_all(
         ("D 手动退款", f"""
             SELECT {_day("COALESCE(m.actual_refund_time, m.op_time, m.register_time)")} AS d, count(*) AS cnt,
                    COALESCE(sum(m.refund_amount), 0) AS amt
-            FROM manual_refunds m
+            FROM manual_refund_clean m
             WHERE COALESCE(m.actual_refund_time, m.op_time, m.register_time) >= :ts
               AND COALESCE(m.actual_refund_time, m.op_time, m.register_time) <= :te
               AND m.is_refunded = '是'
@@ -2231,7 +2146,7 @@ def refund_export_all(
         ("E退款记录报表", f"""
             SELECT {_day("r.refund_time")} AS d, count(*) AS cnt,
                    COALESCE(sum(r.refund_amount), 0) AS amt
-            FROM refund_record_reports r
+            FROM refund_record_report_clean r
             WHERE r.refund_status IN ('退款成功','成功','SUCCESS')
               AND r.refund_time >= :ts AND r.refund_time <= :te
             GROUP BY 1"""),
@@ -2280,7 +2195,7 @@ def refund_problem_type_detail(
     for r in db.execute(text(
         """
         SELECT c.device_sn AS sn, c.problem_type
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND NOT (c.operator = ANY(:sys_bl))
@@ -2501,7 +2416,7 @@ def refund_recovery_analysis(
             "_note": "当前时间窗口未识别到人员数据, 请检查 Person 维表配置.",
         }
 
-    # ---- 3. 分母: 所有人员 在周期内 cs_records 接待的【真退款类】 SN 集合 (按 op 分组) ----
+    # ---- 3. 分母: 所有人员 在周期内 cs_record_clean 接待的【真退款类】 SN 集合 (按 op 分组) ----
     #    口径修正(2026-08-11):
     #      - problem_category = '退款' (大类是退款诉求)
     #      - 不再限制operator必须是退款挽回专员: 任何人员(含组长/主管/退款处理员)接待的退款类SN都算入分母
@@ -2512,7 +2427,7 @@ def refund_recovery_analysis(
         SELECT c.operator AS op, c.device_sn AS sn,
                c.operation_time AS op_time,
                c.problem_type AS problem_type
-        FROM cs_records c
+        FROM cs_record_clean c
         WHERE c.operation_time IS NOT NULL
           AND c.operation_time >= :ts AND c.operation_time <= :te
           AND NOT (c.operator = ANY(:sys_bl))
@@ -2530,13 +2445,13 @@ def refund_recovery_analysis(
         {"ts": ts, "te": te, "sys_bl": list(SYS_OP_BLACKLIST_RR), **kw_params},
     ).fetchall()
 
-    # 收集所有在cs_records中出现的operator，然后补全他们的meta信息
+    # 收集所有在cs_record_clean中出现的operator，然后补全他们的meta信息
     all_cs_ops: set[str] = set()
     for r in cs_sn_rows:
         if r.op:
             all_cs_ops.add(r.op)
 
-    # 将cs_records中出现但不在person_rows中的operator也加入all_ops_meta
+    # 将cs_record_clean中出现但不在person_rows中的operator也加入all_ops_meta
     person_op_map = {p.operator: p for p in person_rows}
     for op in all_cs_ops:
         if op not in all_ops_meta:
@@ -2596,7 +2511,7 @@ def refund_recovery_analysis(
     #   修正说明: 之前只判断了全局时间窗口,没有校验"退款时间必须在接待时间之后",导致接待前已退款的SN被误判为失败
     #   说明: 允许专员接待后最长7天走到退款审批(到账/工单结案)才判定为失败, 避免"假成功"
     #   2026-08-11 修正: 增加第3个失败来源——cs_record描述关键词匹配
-    #     大量退款操作通过企微等渠道执行,记录在cs_records.description中(如"退款说明"/"退款后重新充值说明"等)
+    #     大量退款操作通过企微等渠道执行,记录在cs_record_clean.description中(如"退款说明"/"退款后重新充值说明"等)
     #     但没有同步到refunds表或service_tickets表,导致这些已进入退款流程的SN被误判为"挽回成功"
     #     新增cs_kw_sn分支: cs_record描述含退款流程关键词的SN直接判定为失败
     import datetime as _dt2
@@ -2653,7 +2568,7 @@ def refund_recovery_analysis(
                    '退款流程' AS status,
                    'cs_record关键词' AS method,
                    c.operation_time AS event_time
-            FROM cs_records c
+            FROM cs_record_clean c
             JOIN host_sns hs ON c.device_sn = hs.sn
             WHERE c.operation_time IS NOT NULL
               AND c.device_sn IS NOT NULL
@@ -3064,7 +2979,7 @@ def refund_recovery_analysis(
             """
             SELECT DISTINCT c.device_sn AS sn,
                    MIN(c.operation_time) AS first_op_time
-            FROM cs_records c
+            FROM cs_record_clean c
             WHERE c.operation_time IS NOT NULL
               AND c.operation_time >= :ts AND c.operation_time <= :te
               AND NOT (c.operator = ANY(:sys_bl))
@@ -3235,7 +3150,7 @@ def refund_recovery_analysis(
                 """
                 SELECT DATE(c.operation_time AT TIME ZONE 'Asia/Shanghai') AS d,
                        c.device_sn AS sn
-                FROM cs_records c
+                FROM cs_record_clean c
                 WHERE c.operation_time IS NOT NULL
                   AND c.operation_time >= :ts AND c.operation_time <= :te
                   AND NOT (c.operator = ANY(:sys_bl))
@@ -3274,7 +3189,7 @@ def refund_recovery_analysis(
                   AND st.device_sn IS NOT NULL
                 UNION
                 SELECT c.device_sn AS sn
-                FROM cs_records c
+                FROM cs_record_clean c
                 WHERE c.operation_time IS NOT NULL
                   AND c.operation_time >= :ts AND c.operation_time <= :te7
                   AND c.problem_category = '退款'
@@ -3318,7 +3233,7 @@ def refund_recovery_analysis(
             """
             SELECT EXTRACT(HOUR FROM c.operation_time AT TIME ZONE 'Asia/Shanghai') AS hh,
                    c.device_sn AS sn
-            FROM cs_records c
+            FROM cs_record_clean c
             WHERE c.operation_time IS NOT NULL
               AND c.operation_time >= :ts AND c.operation_time <= :te
               AND NOT (c.operator = ANY(:sys_bl))
@@ -3354,7 +3269,7 @@ def refund_recovery_analysis(
                  WHERE COALESCE(st.service_category,'') = '退款' AND COALESCE(st.status, '') != '终止'
                 UNION
                 SELECT DISTINCT c.device_sn AS sn
-                FROM cs_records c JOIN arr a ON c.device_sn = a.sn
+                FROM cs_record_clean c JOIN arr a ON c.device_sn = a.sn
                  WHERE c.problem_category = '退款'
                    AND NOT (c.operator = ANY(:sys_bl))
                    AND (COALESCE(c.description,'') ILIKE ANY(ARRAY[:ck1,:ck2,:ck3,:ck4])

backend/app/services/analytics/refund_chain.py

@@ -7,9 +7,7 @@ from typing import Any
 from sqlalchemy import func, select, text
 from sqlalchemy.orm import Session
 
-from app.models.manual_refund import ManualRefund
+from app.models.ods_clean import ManualRefundClean, RefundClean, WalletWithdrawalClean
-from app.models.refund import RefundClean
-from app.models.wallet import WalletWithdrawal
 
 # 跨子模块引用(拆分自 app.services.analytics, 原同文件内直接调用)
 from app.services.analytics._core import (
@@ -48,9 +46,9 @@ def _build_chain_rows(db: Session, start: datetime | None = None, end: datetime
     all_rf = list(db.execute(select(RefundClean)).scalars().all())
     # 2026-08-28: 只取"成功提现"(排除 提现申请-冻结 等失败/冻结备注), 避免冻结记录被当作真实出款
     all_wd = list(db.execute(
-        select(WalletWithdrawal).where(*_route_b_withdraw_filter())
+        select(WalletWithdrawalClean).where(*_route_b_withdraw_filter())
     ).scalars().all())
-    all_wi = list(db.execute(select(WalletWithdrawal).where(WalletWithdrawal.op_type == "订单退费转入")).scalars().all())
+    all_wi = list(db.execute(select(WalletWithdrawalClean).where(WalletWithdrawalClean.op_type == "订单退费转入")).scalars().all())
 
     # 所有 datetime 先统一 naive, 避免 tz 比较报错
     for r in all_rf:
@@ -206,8 +204,8 @@ def _build_chain_rows(db: Session, start: datetime | None = None, end: datetime
     #    2026-09-09 (A-20260909-001): 扩展排除 ignored(人工彻底忽略)
     #    abc-a: 改用统一入口 _quality_include_cond(), 与 raw SQL 路径同口径
     all_mr = list(db.execute(
-        select(ManualRefund).where(
+        select(ManualRefundClean).where(
-            ManualRefund.is_refunded == "是",
+            ManualRefundClean.is_refunded == "是",
             *_quality_include_cond(),
         )
     ).scalars().all())
@@ -629,7 +627,7 @@ def refund_withdrawal_sleeping(
         ORDER BY created_at_raw
     """), {"ts": s, "te": e}).fetchall()
     wd_rows = db.execute(text(f"""
-        SELECT remark, device_sn, op_amount, op_time FROM wallet_withdrawals w
+        SELECT remark, device_sn, op_amount, op_time FROM wallet_withdrawal_clean w
         WHERE w.op_type = '用户提现' AND {_withdraw_fail_remark_sql_cond()}
     """)).fetchall()
 

backend/app/services/analytics/rr_views.py

@@ -7,8 +7,7 @@ from typing import Callable as _Callable
 from sqlalchemy import and_, case, func, literal, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean, ExternalComplaintClean
-from app.models.external_complaint import ExternalComplaint
 from app.models.ticket import ServiceTicket
 
 # 跨子模块引用(拆分自 app.services.analytics, 原同文件内直接调用)
@@ -506,29 +505,29 @@ def _view_complaint_root_heatmap(db: Session, params: _PARAMS_T) -> _RET_T:
             _ticket_category_case() == "投诉",
         ),
         select(
-            ExternalComplaint.device_sn.label("sn"),
+            ExternalComplaintClean.device_sn.label("sn"),
-            ExternalComplaint.complainant_phone.label("phone"),
+            ExternalComplaintClean.complainant_phone.label("phone"),
-            func.coalesce(ExternalComplaint.complaint_category, literal("外部投诉")).label("sub"),
+            func.coalesce(ExternalComplaintClean.complaint_category, literal("外部投诉")).label("sub"),
-            ExternalComplaint.complaint_date.label("rt"),
+            ExternalComplaintClean.complaint_date.label("rt"),
         ).where(
-            ExternalComplaint.complaint_date >= ts - timedelta(days=1),
+            ExternalComplaintClean.complaint_date >= ts - timedelta(days=1),
-            ExternalComplaint.complaint_date <= te + timedelta(days=1),
+            ExternalComplaintClean.complaint_date <= te + timedelta(days=1),
         ),
         select(
-            CardComplaint.device_sn.label("sn"),
+            CardComplaintClean.device_sn.label("sn"),
-            CardComplaint.complainant_phone.label("phone"),
+            CardComplaintClean.complainant_phone.label("phone"),
-            func.coalesce(CardComplaint.problem_category, literal("卡商投诉")).label("sub"),
+            func.coalesce(CardComplaintClean.problem_category, literal("卡商投诉")).label("sub"),
-            CardComplaint.complaint_date.label("rt"),
+            CardComplaintClean.complaint_date.label("rt"),
         ).where(
-            CardComplaint.complaint_date >= ts - timedelta(days=1),
+            CardComplaintClean.complaint_date >= ts - timedelta(days=1),
-            CardComplaint.complaint_date <= te + timedelta(days=1),
+            CardComplaintClean.complaint_date <= te + timedelta(days=1),
         ),
     )
     # 再建一级 CTE 便于 JOIN
     u = select(union_subq.c.sn, union_subq.c.phone, union_subq.c.sub, union_subq.c.rt).cte("u")
 
     # ±24h 窗口 JOIN cs_record, 拿根因分类
-    from app.models.cs_record import CsRecord as _CsR
+    from app.models.ods_clean import CsRecordClean as _CsR
     stmt = (
         select(
             u.c.sub.label("投诉子类"),
@@ -668,20 +667,20 @@ def _view_today_phone_dup(db: Session, params: _PARAMS_T) -> _RET_T:
         _ticket_category_case() == "投诉",
     )
     comp_ec = select(
-        _clean_col_expr(ExternalComplaint.complainant_phone).label("phone_c"),
+        _clean_col_expr(ExternalComplaintClean.complainant_phone).label("phone_c"),
-        func.coalesce(ExternalComplaint.complaint_category, literal("外部投诉")).label("sub"),
+        func.coalesce(ExternalComplaintClean.complaint_category, literal("外部投诉")).label("sub"),
-        ExternalComplaint.device_sn.label("sn_c"),
+        ExternalComplaintClean.device_sn.label("sn_c"),
         literal("EC").label("src"),
     ).where(
-        ExternalComplaint.complaint_date >= ts, ExternalComplaint.complaint_date <= te,
+        ExternalComplaintClean.complaint_date >= ts, ExternalComplaintClean.complaint_date <= te,
     )
     comp_cc = select(
-        _clean_col_expr(CardComplaint.complainant_phone).label("phone_c"),
+        _clean_col_expr(CardComplaintClean.complainant_phone).label("phone_c"),
-        func.coalesce(CardComplaint.problem_category, literal("卡商投诉")).label("sub"),
+        func.coalesce(CardComplaintClean.problem_category, literal("卡商投诉")).label("sub"),
-        CardComplaint.device_sn.label("sn_c"),
+        CardComplaintClean.device_sn.label("sn_c"),
         literal("CC").label("src"),
     ).where(
-        CardComplaint.complaint_date >= ts, CardComplaint.complaint_date <= te,
+        CardComplaintClean.complaint_date >= ts, CardComplaintClean.complaint_date <= te,
     )
     comp_u = union(comp_st, comp_ec, comp_cc).cte("u")
     # 全部工单 (非投诉也统计) 用于总进线次数

backend/app/services/analytics/today/_kpi.py

@@ -15,20 +15,20 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.device_combo import DeviceCombo
+from app.models.ods_clean import DeviceComboClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,
@@ -103,15 +103,15 @@ def today_kpi(db: Session, date: str | None = None, start: str | None = None, en
         return and_(col.isnot(None), col >= s, col <= e)
 
     # 1. 今日接待量 (cs_records.operation_time)
-    cs_today = db.execute(select(func.count()).where(_between(CsRecord.operation_time, ts, te))).scalar() or 0
+    cs_today = db.execute(select(func.count()).where(_between(CsRecordClean.operation_time, ts, te))).scalar() or 0
-    cs_yoy = db.execute(select(func.count()).where(_between(CsRecord.operation_time, ys, ye))).scalar() or 0
+    cs_yoy = db.execute(select(func.count()).where(_between(CsRecordClean.operation_time, ys, ye))).scalar() or 0
     # 1b. 今日服务设备数 (cs_records.device_sn 去重, 排除 NULL/空串) — 补充口径：1台设备多次进线算1次，体现覆盖面
     cs_device_today = db.execute(select(
-        func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), "")))
+        func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), "")))
-    ).where(_between(CsRecord.operation_time, ts, te))).scalar() or 0
+    ).where(_between(CsRecordClean.operation_time, ts, te))).scalar() or 0
     cs_device_yoy = db.execute(select(
-        func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), "")))
+        func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), "")))
-    ).where(_between(CsRecord.operation_time, ys, ye))).scalar() or 0
+    ).where(_between(CsRecordClean.operation_time, ys, ye))).scalar() or 0
 
     # 1c. ★ #78 接待来源分层（真人 / AI全自动 / 系统 / 客户自助）
     #     设计说明（Design Rationale）:
@@ -129,22 +129,22 @@ def today_kpi(db: Session, date: str | None = None, start: str | None = None, en
         # 有操作人且非系统账户 → 真人（含人工点 AI 助手, 场景 1/2/4）
         (
             and_(
-                CsRecord.operator.isnot(None),
+                CsRecordClean.operator.isnot(None),
-                func.trim(CsRecord.operator) != "",
+                func.trim(CsRecordClean.operator) != "",
-                ~func.lower(func.trim(CsRecord.operator)).in_(
+                ~func.lower(func.trim(CsRecordClean.operator)).in_(
                     ["wechat", "sys", "system", "用户自助", "客户自助", "客户", "系统"]
                 ),
             ),
             SourceKind.HUMAN.value,
         ),
-        (func.lower(func.trim(func.coalesce(CsRecord.operator, ""))) == "wechat", SourceKind.AI_AUTO.value),
+        (func.lower(func.trim(func.coalesce(CsRecordClean.operator, ""))) == "wechat", SourceKind.AI_AUTO.value),
         # 客户自助: 空操作人 + description 以 openid 开头(≥20 位字母数字)
         #   注: PostgreSQL 正则匹配符 `~` 在 SQLAlchemy 需用 .op("~")(pattern) 表达
         #   (Python 的 `~` 是一元按位取反, 直接写 a ~ b 会语法错误)
         (
             and_(
-                func.coalesce(func.trim(CsRecord.operator), "") == "",
+                func.coalesce(func.trim(CsRecordClean.operator), "") == "",
-                func.trim(func.coalesce(CsRecord.description, "")).op("~")("^[A-Za-z0-9_-]{20,}"),
+                func.trim(func.coalesce(CsRecordClean.description, "")).op("~")("^[A-Za-z0-9_-]{20,}"),
             ),
             SourceKind.CUSTOMER_SELF.value,
         ),
@@ -155,13 +155,13 @@ def today_kpi(db: Session, date: str | None = None, start: str | None = None, en
         select(
             _cs_kind_case,
             func.count().label("sessions"),
-            func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("devices"),
+            func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("devices"),
             func.count(func.distinct(
-                func.concat(func.coalesce(CsRecord.device_sn, ""), "|",
+                func.concat(func.coalesce(CsRecordClean.device_sn, ""), "|",
-                            func.to_char(CsRecord.operation_time, "YYYY-MM-DD HH24:MI:SS"))
+                            func.to_char(CsRecordClean.operation_time, "YYYY-MM-DD HH24:MI:SS"))
             )).label("events"),
         )
-        .where(_between(CsRecord.operation_time, ts, te))
+        .where(_between(CsRecordClean.operation_time, ts, te))
         .group_by(_cs_kind_case)
     ).all()
     cs_breakdown: dict[str, dict[str, int]] = {
@@ -177,26 +177,26 @@ def today_kpi(db: Session, date: str | None = None, start: str | None = None, en
     # AI 接管率: 会话口径(全量占比) + 设备口径(AI 独有 SN 占比)
     _ai_sessions = cs_breakdown[SourceKind.AI_AUTO.value]["sessions"]
     _human_sn_rows = db.execute(
-        select(func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))))
+        select(func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))))
-        .where(_between(CsRecord.operation_time, ts, te),
+        .where(_between(CsRecordClean.operation_time, ts, te),
-               func.lower(func.trim(func.coalesce(CsRecord.operator, ""))) != "wechat",
+               func.lower(func.trim(func.coalesce(CsRecordClean.operator, ""))) != "wechat",
-               func.coalesce(func.trim(CsRecord.operator), "") != "")
+               func.coalesce(func.trim(CsRecordClean.operator), "") != "")
     ).scalar() or 0
     _ai_sn_rows = db.execute(
-        select(func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))))
+        select(func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))))
-        .where(_between(CsRecord.operation_time, ts, te),
+        .where(_between(CsRecordClean.operation_time, ts, te),
-               func.lower(func.trim(func.coalesce(CsRecord.operator, ""))) == "wechat")
+               func.lower(func.trim(func.coalesce(CsRecordClean.operator, ""))) == "wechat")
     ).scalar() or 0
     _overlap = db.execute(
         select(func.count()).select_from(
-            select(func.nullif(func.trim(CsRecord.device_sn), "").label("sn"))
+            select(func.nullif(func.trim(CsRecordClean.device_sn), "").label("sn"))
-            .where(_between(CsRecord.operation_time, ts, te))
+            .where(_between(CsRecordClean.operation_time, ts, te))
-            .group_by(func.nullif(func.trim(CsRecord.device_sn), ""))
+            .group_by(func.nullif(func.trim(CsRecordClean.device_sn), ""))
             .having(and_(
-                func.count().filter(func.lower(func.trim(func.coalesce(CsRecord.operator, ""))) == "wechat") > 0,
+                func.count().filter(func.lower(func.trim(func.coalesce(CsRecordClean.operator, ""))) == "wechat") > 0,
                 func.count().filter(and_(
-                    func.lower(func.trim(func.coalesce(CsRecord.operator, ""))) != "wechat",
+                    func.lower(func.trim(func.coalesce(CsRecordClean.operator, ""))) != "wechat",
-                    func.coalesce(func.trim(CsRecord.operator), "") != "",
+                    func.coalesce(func.trim(CsRecordClean.operator), "") != "",
                 )) > 0,
             )).subquery()
         )
@@ -261,24 +261,24 @@ def today_kpi(db: Session, date: str | None = None, start: str | None = None, en
     done_y, real_done_y = _ticket_effective_finish_time_where(db, ys, ye)
 
     # 6. 今日在岗人数 (cs_records distinct operator)
-    staff_t = db.execute(select(func.count(func.distinct(CsRecord.operator)))
+    staff_t = db.execute(select(func.count(func.distinct(CsRecordClean.operator)))
-                         .where(_between(CsRecord.operation_time, ts, te),
+                         .where(_between(CsRecordClean.operation_time, ts, te),
-                                CsRecord.operator.isnot(None))).scalar() or 0
+                                CsRecordClean.operator.isnot(None))).scalar() or 0
-    staff_y = db.execute(select(func.count(func.distinct(CsRecord.operator)))
+    staff_y = db.execute(select(func.count(func.distinct(CsRecordClean.operator)))
-                         .where(_between(CsRecord.operation_time, ys, ye),
+                         .where(_between(CsRecordClean.operation_time, ys, ye),
-                                CsRecord.operator.isnot(None))).scalar() or 0
+                                CsRecordClean.operator.isnot(None))).scalar() or 0
 
     # 6b. ★ #309 窗口充值(真实现金流充入): device_combos 按 created_at_raw 落窗,
     #     剔除工厂质检专用套餐流水(package_name ILIKE '%质检%') —— 与分品类运营看板
     #     #293 同判据(出厂质检单笔 999/9999 元非真实营收, 2026-10 曾占当期流水 57.5%)。
     #     环比 = 上一等长窗口(ys~ye), 与其他 KPI 卡同一对比语义。
-    _not_qc = DeviceCombo.package_name.notilike("%质检%")
+    _not_qc = DeviceComboClean.package_name.notilike("%质检%")
     _rc_t = db.execute(select(
-        func.count(), func.coalesce(func.sum(DeviceCombo.actual_amount), 0),
+        func.count(), func.coalesce(func.sum(DeviceComboClean.actual_amount), 0),
-    ).where(_between(DeviceCombo.created_at_raw, ts, te), _not_qc)).first()
+    ).where(_between(DeviceComboClean.created_at_raw, ts, te), _not_qc)).first()
     _rc_y = db.execute(select(
-        func.count(), func.coalesce(func.sum(DeviceCombo.actual_amount), 0),
+        func.count(), func.coalesce(func.sum(DeviceComboClean.actual_amount), 0),
-    ).where(_between(DeviceCombo.created_at_raw, ys, ye), _not_qc)).first()
+    ).where(_between(DeviceComboClean.created_at_raw, ys, ye), _not_qc)).first()
     rc_cnt_t, rc_amt_t = int(_rc_t[0] or 0), round(float(_rc_t[1] or 0), 2)
     rc_cnt_y, rc_amt_y = int(_rc_y[0] or 0), round(float(_rc_y[1] or 0), 2)
 

backend/app/services/analytics/today/_queue.py

@@ -15,19 +15,19 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,

backend/app/services/analytics/today/_reception.py

@@ -15,19 +15,19 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,
@@ -90,8 +90,8 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
     else:
         d_iso = (_dt.datetime.now(TZ).date() if date is None else _parse_date(date)).isoformat()
         d_end_iso = None
-    between = and_(CsRecord.operation_time.isnot(None),
+    between = and_(CsRecordClean.operation_time.isnot(None),
-                   CsRecord.operation_time >= ts, CsRecord.operation_time <= te)
+                   CsRecordClean.operation_time >= ts, CsRecordClean.operation_time <= te)
     tk_between = and_(ServiceTicket.register_time.isnot(None),
                       ServiceTicket.register_time >= ts, ServiceTicket.register_time <= te)
 
@@ -104,7 +104,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
         .group_by("category_bucket")
     ).all()
     cat_device_rows = db.execute(
-        select(bucket, func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("dcnt"))
+        select(bucket, func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("dcnt"))
         .where(between)
         .group_by("category_bucket")
     ).all()
@@ -133,15 +133,15 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
     op_person = _operator_to_person_cte()
     top_rows = db.execute(
         select(
-            CsRecord.operator.label("raw_op"),
+            CsRecordClean.operator.label("raw_op"),
             op_person.c.display_name.label("display_name"),
             op_person.c.department.label("department"),
             op_person.c.group_name.label("group_name"),
             func.count().label("cnt"),
-            func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("dcnt"),
+            func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("dcnt"),
         )
-        .outerjoin(op_person, CsRecord.operator == op_person.c.operator)
+        .outerjoin(op_person, CsRecordClean.operator == op_person.c.operator)
-        .where(between, CsRecord.operator.isnot(None))
+        .where(between, CsRecordClean.operator.isnot(None))
         .group_by("raw_op", op_person.c.display_name, op_person.c.department, op_person.c.group_name)
         .order_by(func.count().desc())
         .limit(10)
@@ -179,13 +179,13 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
     # 叠加 external_complaints 今日 (按 complaint_category 聚合,未分类则归入 "外部投诉(监督局/315等)")
     # 2026-08-14: _INCLUDE_COMPLAINT_FILES=False 时跳过, ec_between=literal(False) 使下游查询返回空
     if _INCLUDE_COMPLAINT_FILES:
-        ec_between = and_(ExternalComplaint.complaint_date.isnot(None),
+        ec_between = and_(ExternalComplaintClean.complaint_date.isnot(None),
-                          ExternalComplaint.complaint_date >= ts, ExternalComplaint.complaint_date <= te)
+                          ExternalComplaintClean.complaint_date >= ts, ExternalComplaintClean.complaint_date <= te)
         ec_rows = db.execute(
-            select(func.coalesce(ExternalComplaint.complaint_category, "外部投诉(监督局/315等)"),
+            select(func.coalesce(ExternalComplaintClean.complaint_category, "外部投诉(监督局/315等)"),
                    func.count().label("cnt"))
             .where(ec_between)
-            .group_by(func.coalesce(ExternalComplaint.complaint_category, "外部投诉(监督局/315等)"))
+            .group_by(func.coalesce(ExternalComplaintClean.complaint_category, "外部投诉(监督局/315等)"))
             .order_by(text("cnt DESC"))
         ).all()
         for r in ec_rows:
@@ -195,13 +195,13 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                 "value": int(r[1] or 0),
             })
         # 叠加 card_complaints 今日 (按 problem_category 聚合, 未分类归入 "卡商群投诉")
-        cc_between = and_(CardComplaint.complaint_date.isnot(None),
+        cc_between = and_(CardComplaintClean.complaint_date.isnot(None),
-                          CardComplaint.complaint_date >= ts, CardComplaint.complaint_date <= te)
+                          CardComplaintClean.complaint_date >= ts, CardComplaintClean.complaint_date <= te)
         cc_rows = db.execute(
-            select(func.coalesce(CardComplaint.problem_category, BUCKET_CARD),
+            select(func.coalesce(CardComplaintClean.problem_category, BUCKET_CARD),
                    func.count().label("cnt"))
             .where(cc_between)
-            .group_by(func.coalesce(CardComplaint.problem_category, BUCKET_CARD))
+            .group_by(func.coalesce(CardComplaintClean.problem_category, BUCKET_CARD))
             .order_by(text("cnt DESC"))
         ).all()
         for r in cc_rows:
@@ -234,9 +234,9 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                                    _complaint_source_type_case() == BUCKET_CARD)
     ).scalar() or 0
     _ov_card_cc = db.execute(
-        select(func.count()).select_from(CardComplaint)
+        select(func.count()).select_from(CardComplaintClean)
-        .where(cc_between, CardComplaint.matched_ticket_no.isnot(None),
+        .where(cc_between, CardComplaintClean.matched_ticket_no.isnot(None),
-               CardComplaint.matched_ticket_no.in_(
+               CardComplaintClean.matched_ticket_no.in_(
                    select(ServiceTicket.ticket_no).where(
                        tk_between, _ticket_category_case() == "投诉",
                        _complaint_source_type_case() == BUCKET_CARD,
@@ -287,10 +287,10 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
     card_by_category: list[dict] = []
     if _cnt_cc > 0:
         _cc_rows = db.execute(
-            select(func.coalesce(CardComplaint.problem_category, CARD_SCOPE),
+            select(func.coalesce(CardComplaintClean.problem_category, CARD_SCOPE),
                    func.count().label("cnt"))
             .where(cc_between)
-            .group_by(func.coalesce(CardComplaint.problem_category, CARD_SCOPE))
+            .group_by(func.coalesce(CardComplaintClean.problem_category, CARD_SCOPE))
             .order_by(text("cnt DESC"))
         ).all()
         card_by_category = [
@@ -345,7 +345,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                 -- 是否匹配到 cs_record: 1=匹配, 0=未匹配
                 CASE WHEN c.problem_category IS NOT NULL THEN 1 ELSE 0 END AS has_match
             FROM comp_tickets ct
-            LEFT JOIN cs_records c
+            LEFT JOIN cs_record_clean c
               ON ct.device_sn = c.device_sn
               AND c.operation_time IS NOT NULL
               AND c.operation_time BETWEEN (ct.register_time - INTERVAL '24 hours')
@@ -403,7 +403,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                 WHEN COALESCE(service_item, '') ~* '微信投诉'
                 THEN '微信商户号投诉类'
                 -- A3-4: 外部平台名(12315/工信部/消协/公共服务/市监/政务) → 外部平台投诉受理类
-                --       注意: 这里不重复 外部投诉(ExternalComplaint)表, 这些工单是 service_tickets
+                --       注意: 这里不重复 外部投诉(ExternalComplaintClean)表, 这些工单是 service_tickets
                 --       中通过 "投诉子类" 字段直接录入"全国12315平台"等名称的记录
                 WHEN COALESCE(service_item, '') ~* '(12315|工信部|消协|消费者协会|公共服务|监督局|市场监管|市监|12345|政务平台)'
                 THEN '外部平台投诉受理类'
@@ -445,9 +445,9 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
         return "外部平台投诉受理类"
 
     ec_list_rows = db.execute(
-        select(ExternalComplaint.complaint_category,
+        select(ExternalComplaintClean.complaint_category,
-               ExternalComplaint.platform,
+               ExternalComplaintClean.platform,
-               ExternalComplaint.keyword)
+               ExternalComplaintClean.keyword)
         .where(ec_between)
     ).all()
     for r in ec_list_rows:
@@ -472,8 +472,8 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
         return "卡商群待标注类"
 
     cc_list_rows = db.execute(
-        select(CardComplaint.problem_category,
+        select(CardComplaintClean.problem_category,
-               CardComplaint.problem)
+               CardComplaintClean.problem)
         .where(cc_between)
     ).all()
     for r in cc_list_rows:
@@ -505,7 +505,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
 
     # ═══════════════════════════════════════════════════════════
     # 2026-08-13 新增: 投诉处理人 × 处理状态 统计 (三张投诉表合并)
-    #   - 处理人来源: service_tickets.handler / ExternalComplaint.handler / CardComplaint.handler
+    #   - 处理人来源: service_tickets.handler / ExternalComplaintClean.handler / CardComplaintClean.handler
     #   - 统一归一化: "企微-洪佳" → "洪佳"，空值 → "未分配"
     #   - 状态口径: 3表统一映射为 [待处理/处理中/已完成/已终止/未标注] 5 桶
     # ═══════════════════════════════════════════════════════════
@@ -545,7 +545,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                 END AS raw_status,
                 '外部投诉'::text AS source_type,
                 COUNT(*)::int AS cnt
-            FROM external_complaints ec
+            FROM external_complaint_clean ec
             WHERE ec.complaint_date IS NOT NULL
               AND ec.complaint_date >= :ts AND ec.complaint_date <= :te
             GROUP BY 1, 2, 3
@@ -564,7 +564,7 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
                 END AS raw_status,
                 '卡商群投诉'::text AS source_type,
                 COUNT(*)::int AS cnt
-            FROM card_complaints cc
+            FROM card_complaint_clean cc
             WHERE cc.complaint_date IS NOT NULL
               AND cc.complaint_date >= :ts AND cc.complaint_date <= :te
             GROUP BY 1, 2, 3
@@ -837,27 +837,27 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
         # 注意: complaint_pending 的三表查询直接使用表模型，不受 _INCLUDE_COMPLAINT_FILES 标志影响
         # 该标志仅控制投诉子类饼图/根因等聚合查询，并不阻止未闭环列表查询
         ec_where = and_(
-            ExternalComplaint.complaint_date.isnot(None),
+            ExternalComplaintClean.complaint_date.isnot(None),
-            ExternalComplaint.complaint_date >= ts_pending,
+            ExternalComplaintClean.complaint_date >= ts_pending,
-            ExternalComplaint.complaint_date <= te_pending,
+            ExternalComplaintClean.complaint_date <= te_pending,
         )
         ec_pending_rows = db.execute(
             select(
-                ExternalComplaint.complaint_no,
+                ExternalComplaintClean.complaint_no,
-                ExternalComplaint.complaint_date,
+                ExternalComplaintClean.complaint_date,
-                ExternalComplaint.complainant,
+                ExternalComplaintClean.complainant,
-                ExternalComplaint.complainant_phone,
+                ExternalComplaintClean.complainant_phone,
-                ExternalComplaint.device_sn,
+                ExternalComplaintClean.device_sn,
-                ExternalComplaint.platform,
+                ExternalComplaintClean.platform,
-                ExternalComplaint.problem,
+                ExternalComplaintClean.problem,
-                ExternalComplaint.complaint_category,
+                ExternalComplaintClean.complaint_category,
-                ExternalComplaint.result,
+                ExternalComplaintClean.result,
-                ExternalComplaint.handle_time,
+                ExternalComplaintClean.handle_time,
-                ExternalComplaint.handle_detail,
+                ExternalComplaintClean.handle_detail,
-                ExternalComplaint.follower,
+                ExternalComplaintClean.follower,
             )
             .where(ec_where)
-            .order_by(ExternalComplaint.complaint_date.asc())
+            .order_by(ExternalComplaintClean.complaint_date.asc())
             # ⚠️ 移除 LIMIT (和 service_tickets 同理, 统一放到 Python 层 过滤完 bucket 后再 LIMIT)
         ).mappings().all()
         for r in ec_pending_rows:
@@ -905,27 +905,27 @@ def today_reception_breakdown(db: Session, date: str | None = None, start: str |
 
         # ── C. card_complaints 卡商群投诉 (未闭环) ──
         cc_where = and_(
-            CardComplaint.complaint_date.isnot(None),
+            CardComplaintClean.complaint_date.isnot(None),
-            CardComplaint.complaint_date >= ts_pending,
+            CardComplaintClean.complaint_date >= ts_pending,
-            CardComplaint.complaint_date <= te_pending,
+            CardComplaintClean.complaint_date <= te_pending,
         )
         cc_pending_rows = db.execute(
             select(
-                CardComplaint.id,
+                CardComplaintClean.id,
-                CardComplaint.complaint_date,
+                CardComplaintClean.complaint_date,
-                CardComplaint.complainant,
+                CardComplaintClean.complainant,
-                CardComplaint.complainant_phone,
+                CardComplaintClean.complainant_phone,
-                CardComplaint.device_sn,
+                CardComplaintClean.device_sn,
-                CardComplaint.complaint_group,
+                CardComplaintClean.complaint_group,
-                CardComplaint.problem,
+                CardComplaintClean.problem,
-                CardComplaint.problem_category,
+                CardComplaintClean.problem_category,
-                CardComplaint.result,
+                CardComplaintClean.result,
-                CardComplaint.handle_result,
+                CardComplaintClean.handle_result,
-                CardComplaint.solution,
+                CardComplaintClean.solution,
-                CardComplaint.handler,
+                CardComplaintClean.handler,
             )
             .where(cc_where)
-            .order_by(CardComplaint.complaint_date.asc())
+            .order_by(CardComplaintClean.complaint_date.asc())
             # ⚠️ 移除 LIMIT (和 service_tickets 同理, 统一放到 Python 层 过滤完 bucket 后再 LIMIT)
         ).mappings().all()
         for r in cc_pending_rows:

backend/app/services/analytics/today/_refund.py

@@ -15,19 +15,19 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,

backend/app/services/analytics/today/_staff.py

@@ -15,19 +15,19 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,
@@ -144,36 +144,36 @@ def today_staff_efficiency(
     def _sys_auto_filter():
         """返回 SQL 条件 排除 cs_record 中系统自动产生的记录"""
         kw = ("系统自动", "自动发送", "自动回复", "自动推送", "自动补发", "自动触发", "自动生成")
-        kw_like = [CsRecord.description.ilike(f"%{k}%") for k in kw] \
+        kw_like = [CsRecordClean.description.ilike(f"%{k}%") for k in kw] \
-                + [CsRecord.execution_result.ilike(f"%{k}%") for k in kw] \
+                + [CsRecordClean.execution_result.ilike(f"%{k}%") for k in kw] \
-                + [CsRecord.solution.ilike(f"%{k}%") for k in kw]
+                + [CsRecordClean.solution.ilike(f"%{k}%") for k in kw]
         return and_(
-            CsRecord.operator.isnot(None),
+            CsRecordClean.operator.isnot(None),
-            CsRecord.operator.notin_(SYS_OP_BLACKLIST),
+            CsRecordClean.operator.notin_(SYS_OP_BLACKLIST),
             ~or_(*kw_like),  # 反向: 不包含任何自动关键词
         )
 
     # 1. 会话接待量 + 接待人数(去重SN) 总量 per operator
     #    v2: 排除系统自动记录
-    cs_q = (select(CsRecord.operator.label("op"),
+    cs_q = (select(CsRecordClean.operator.label("op"),
                    func.count().label("c"),
-                   func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("dc"))
+                   func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("dc"))
-            .where(CsRecord.operation_time.isnot(None),
+            .where(CsRecordClean.operation_time.isnot(None),
-                   CsRecord.operation_time >= ts, CsRecord.operation_time <= te,
+                   CsRecordClean.operation_time >= ts, CsRecordClean.operation_time <= te,
                    _sys_auto_filter())
-            .group_by(CsRecord.operator)).cte("cs_q")
+            .group_by(CsRecordClean.operator)).cte("cs_q")
     # 2. 会话接待 按 6 个 category_bucket 分桶 per operator: 会话数 + 接待数(SN去重) 两套
     #    v2: 同样排除系统自动记录
     cs_cat_q = (select(
-        CsRecord.operator.label("op"),
+        CsRecordClean.operator.label("op"),
         _category_case().label("bucket"),
         func.count().label("scnt"),
-        func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("pcnt"),
+        func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("pcnt"),
     ).where(
-        CsRecord.operation_time.isnot(None),
+        CsRecordClean.operation_time.isnot(None),
-        CsRecord.operation_time >= ts, CsRecord.operation_time <= te,
+        CsRecordClean.operation_time >= ts, CsRecordClean.operation_time <= te,
         _sys_auto_filter(),
-    ).group_by(CsRecord.operator, "bucket")).cte("cs_cat_q")
+    ).group_by(CsRecordClean.operator, "bucket")).cte("cs_cat_q")
     # 3. 退款挽回实际执行: 笔数 + 去重设备个数
     #    已有 sys/system 排除, 保留
     #    ⚠️ 2026-09-08: 工作量口径(无金额)保持全状态(any_status), 不随经营口径收紧到已退款,
@@ -361,7 +361,7 @@ def today_staff_efficiency(
                     ELSE '咨询接待'
                 END AS spec,
                 c.device_sn AS sn
-            FROM cs_records c
+            FROM cs_record_clean c
             WHERE c.operation_time IS NOT NULL
               AND c.operation_time >= :ts AND c.operation_time <= :te
               AND c.operator IS NOT NULL
@@ -446,7 +446,7 @@ def today_staff_efficiency(
                    END AS spec,
                    st.device_sn AS sn
             FROM service_tickets st
-            JOIN cs_records c2
+            JOIN cs_record_clean c2
               ON c2.device_sn = st.device_sn
              AND c2.operator IS NOT NULL
              AND c2.operator NOT IN ('sys','system','SYS','System','用户自助','客户自助','企微用户自助','WeChat','wechat','WECHAT','AI客服','智能客服','机器人客服','客户','班牛','系统','微信投诉')
@@ -537,7 +537,7 @@ def today_staff_efficiency(
                    st.service_item AS service_item,
                    st.service_category AS service_category
             FROM service_tickets st
-            JOIN cs_records c2
+            JOIN cs_record_clean c2
               ON c2.device_sn = st.device_sn
              AND c2.operator IS NOT NULL
              AND c2.operator NOT IN ('sys','system','SYS','System','用户自助','客户自助','企微用户自助','WeChat','wechat','WECHAT','AI客服','智能客服','机器人客服','客户','班牛','系统','微信投诉')
@@ -1080,14 +1080,14 @@ def today_staff_efficiency(
                    "sys", "system", "SYS", "System", "系统", "班牛", "用户自助", "客户自助"]
     _virtual_agg = db.execute(
         select(
-            CsRecord.operator.label("op"),
+            CsRecordClean.operator.label("op"),
             func.count().label("rc"),
-            func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("rdc"),
+            func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("rdc"),
         )
-        .where(CsRecord.operation_time.isnot(None),
+        .where(CsRecordClean.operation_time.isnot(None),
-               CsRecord.operation_time >= ts, CsRecord.operation_time <= te,
+               CsRecordClean.operation_time >= ts, CsRecordClean.operation_time <= te,
-               CsRecord.operator.in_(_AI_SYS_OPS))
+               CsRecordClean.operator.in_(_AI_SYS_OPS))
-        .group_by(CsRecord.operator)
+        .group_by(CsRecordClean.operator)
     ).all()
     # ─────────────────────────────────────────────────────────────────────
     # ★ 2026-09-14 用户要求: 「AI 接待也纳入效率值核算，算法与专项人员一致」
@@ -1131,14 +1131,14 @@ def today_staff_efficiency(
                 _category_case().label("bucket"),
                 func.count().label("scnt"),
                 func.count(
-                    func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))
+                    func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))
                 ).label("pcnt"),
             )
             .where(
-                CsRecord.operation_time.isnot(None),
+                CsRecordClean.operation_time.isnot(None),
-                CsRecord.operation_time >= ts,
+                CsRecordClean.operation_time >= ts,
-                CsRecord.operation_time <= te,
+                CsRecordClean.operation_time <= te,
-                CsRecord.operator == op_name,
+                CsRecordClean.operator == op_name,
             )
             .group_by("bucket")
         ).all()

backend/app/services/analytics/today/_trend.py

@@ -15,19 +15,19 @@ from typing import Any
 from sqlalchemy import and_, case, func, literal, or_, select, text, union
 from sqlalchemy.orm import Session
 
-from app.models.card_complaint import CardComplaint
+from app.models.ods_clean import CardComplaintClean
-from app.models.cs_record import CsRecord
+from app.models.ods_clean import CsRecordClean
-from app.models.external_complaint import ExternalComplaint
+from app.models.ods_clean import ExternalComplaintClean
 from app.models.group import Group, PersonGroupMembership
 from app.models.incident import Incident
 from app.models.person import Person, PersonAlias
-from app.models.refund import RefundClean
+from app.models.ods_clean import RefundClean
-from app.models.refund_record_report import RefundRecordReport
+from app.models.ods_clean import RefundRecordReportClean
 from app.models.specialty import PersonSpecialtyAssignment, Specialty
 from app.models.task import SpecialTask
 from app.models.ticket import ServiceTicket
 from app.models.todo import TodoItem
-from app.models.wallet import WalletWithdrawal
+from app.models.ods_clean import WalletWithdrawalClean
 from app.services.complaint_scope import (
     ALL_BUCKETS,
     BUCKET_CARD,
@@ -218,11 +218,11 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
         x_label = "日期 (跨度 {} 天)".format(len(slots_days))
         n_slots = len(slots_days)
     cs_rows = db.execute(
-        select(_time_trunc(CsRecord.operation_time),
+        select(_time_trunc(CsRecordClean.operation_time),
                func.count().label("cnt"),
-               func.count(func.distinct(func.nullif(func.trim(CsRecord.device_sn), ""))).label("dev_cnt"))
+               func.count(func.distinct(func.nullif(func.trim(CsRecordClean.device_sn), ""))).label("dev_cnt"))
-        .where(CsRecord.operation_time.isnot(None),
+        .where(CsRecordClean.operation_time.isnot(None),
-               CsRecord.operation_time >= ts, CsRecord.operation_time <= te)
+               CsRecordClean.operation_time >= ts, CsRecordClean.operation_time <= te)
         .group_by("trunc_t")
     ).all()
     cs_map: dict[int, int] = {}
@@ -261,11 +261,11 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
 
     # --- 路线B: 钱包提现(按粒度 笔数+金额) ---
     wb_rows = db.execute(
-        select(_time_trunc(WalletWithdrawal.op_time),
+        select(_time_trunc(WalletWithdrawalClean.op_time),
                func.count().label("cnt"),
-               func.coalesce(func.sum(WalletWithdrawal.op_amount), 0).label("amt"))
+               func.coalesce(func.sum(WalletWithdrawalClean.op_amount), 0).label("amt"))
-        .where(WalletWithdrawal.op_time.isnot(None),
+        .where(WalletWithdrawalClean.op_time.isnot(None),
-               WalletWithdrawal.op_time >= ts, WalletWithdrawal.op_time <= te,
+               WalletWithdrawalClean.op_time >= ts, WalletWithdrawalClean.op_time <= te,
                *_route_b_withdraw_filter())
         .group_by("trunc_t")
     ).all()
@@ -289,11 +289,11 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
 
     # --- 路线E: 商户号实际现金流(按粒度 笔数+金额, 数据源=refund_record_reports) ---
     e_rows = db.execute(
-        select(_time_trunc(RefundRecordReport.refund_time),
+        select(_time_trunc(RefundRecordReportClean.refund_time),
                func.count().label("cnt"),
-               func.coalesce(func.sum(RefundRecordReport.refund_amount), 0).label("amt"))
+               func.coalesce(func.sum(RefundRecordReportClean.refund_amount), 0).label("amt"))
-        .where(RefundRecordReport.refund_time.isnot(None),
+        .where(RefundRecordReportClean.refund_time.isnot(None),
-               RefundRecordReport.refund_time >= ts, RefundRecordReport.refund_time <= te,
+               RefundRecordReportClean.refund_time >= ts, RefundRecordReportClean.refund_time <= te,
                *_route_e_cashflow_filter())
         .group_by("trunc_t")
     ).all()
@@ -313,7 +313,7 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
     #   **与 #81 核心指标同源**（分桶 + 扣 315 已 matched 重叠 + 剥卡商）
     #
     #   【修什么】原实现（2026-09-14 前）：
-    #     `工单投诉类 + ExternalComplaint 全表 + CardComplaint 全表`
+    #     `工单投诉类 + 外部投诉全表 + 卡商群投诉全表`
     #     → ① **含卡商**（与 #53「卡商独立、不纳入总量」直接冲突）
     #       ② **不扣重叠** → 315 里已 matched 到工单的记录被重复计入
     #       ③ 与同页「核心指标·投诉数」**对不上**（实测 1127 vs 1111，差 16）
@@ -387,12 +387,12 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
             func.extract("epoch", ServiceTicket.finish_time - ServiceTicket.register_time) >= 180,
             ServiceTicket.finish_time >= ts, ServiceTicket.finish_time <= te)
         ec_done_rows = db.execute(
-            select(_time_trunc(ExternalComplaint.complaint_date), func.count().label("cnt"),
+            select(_time_trunc(ExternalComplaintClean.complaint_date), func.count().label("cnt"),
-                   func.count(ExternalComplaint.matched_ticket_no)
+                   func.count(ExternalComplaintClean.matched_ticket_no)
-                   .filter(ExternalComplaint.matched_ticket_no.in_(_done_sub)).label("ov"))
+                   .filter(ExternalComplaintClean.matched_ticket_no.in_(_done_sub)).label("ov"))
-            .where(ExternalComplaint.complaint_date.isnot(None),
+            .where(ExternalComplaintClean.complaint_date.isnot(None),
-                   ExternalComplaint.complaint_date >= ts, ExternalComplaint.complaint_date <= te,
+                   ExternalComplaintClean.complaint_date >= ts, ExternalComplaintClean.complaint_date <= te,
-                   ExternalComplaint.result.in_(_EXTERNAL_DONE_RESULTS_LOCAL))
+                   ExternalComplaintClean.result.in_(_EXTERNAL_DONE_RESULTS_LOCAL))
             .group_by("trunc_t")
         ).all()
         for r in ec_done_rows:
@@ -408,16 +408,16 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
     # 315 补充表**净新增**并入「外部投诉」（与 /summary 合并口径一致）
     #   净新增 = 当日总数 − 已 matched 到本范围内工单的条数（避免与工单双算）
     if _INCLUDE_COMPLAINT_FILES:
-        _ec_cond = [ExternalComplaint.complaint_date.isnot(None),
+        _ec_cond = [ExternalComplaintClean.complaint_date.isnot(None),
-                    ExternalComplaint.complaint_date >= ts, ExternalComplaint.complaint_date <= te]
+                    ExternalComplaintClean.complaint_date >= ts, ExternalComplaintClean.complaint_date <= te]
         _sub_tk = select(ServiceTicket.ticket_no).where(
             _ticket_category_case() == "投诉",
             ServiceTicket.register_time.isnot(None),
             ServiceTicket.register_time >= ts, ServiceTicket.register_time <= te)
         ec_rows = db.execute(
-            select(_time_trunc(ExternalComplaint.complaint_date), func.count().label("cnt"),
+            select(_time_trunc(ExternalComplaintClean.complaint_date), func.count().label("cnt"),
-                   func.count(ExternalComplaint.matched_ticket_no)
+                   func.count(ExternalComplaintClean.matched_ticket_no)
-                   .filter(ExternalComplaint.matched_ticket_no.in_(_sub_tk)).label("ov"))
+                   .filter(ExternalComplaintClean.matched_ticket_no.in_(_sub_tk)).label("ov"))
             .where(*_ec_cond)
             .group_by("trunc_t")
         ).all()
@@ -431,7 +431,7 @@ def today_hourly_trend(db: Session, date: str | None = None, start: str | None =
             net = int(r.cnt or 0) - int(r.ov or 0)
             if net:
                 cp_map[idx] = cp_map.get(idx, 0) + net
-        # ⚠️ CardComplaint **不再并入**（#53 卡商独立，见上方说明）
+        # ⚠️ 卡商群投诉 **不再并入**（#53 卡商独立，见上方说明）
 
     # ── 填充到槽位: 单日填当前小时之前, 多日填全部(最后一天可能实时) ──
     slots = list(range(n_slots))

backend/app/services/quality/__init__.py

@@ -0,0 +1,6 @@
+"""数据质量审核域服务包(#322 P2 逐域切换)。
+
+原 `app/services/analytics/refund.py` 内的「手动退款登记质量审核」含**写路径**
+(直接 UPDATE `ods.manual_refunds` 基表), analytics 层已切到 public 干净视图读路径,
+门禁 C2 禁止 analytics 再引用 ods 基表/基类, 故将写路径移出到本包。
+"""

backend/app/services/quality/manual_refund_review.py

@@ -0,0 +1,107 @@
+"""手动退款登记 数据质量审核 (L3: 自动纠错记录 + 待人工确认)。
+
+## 为什么单独成模块(#322 P2 方案A)
+
+原实现位于 `app/services/analytics/refund.py`, 但其中 `manual_refund_quality_confirm/fix`
+是**写路径** —— 需要直接 UPDATE `ods.manual_refunds` 基表(`ManualRefund` 只能映射基表,
+视图不可写)。analytics 层已整体切到 `public` 干净视图读路径, 门禁 C2 禁止 analytics 再引用
+ods 基表/基类, 故把写路径**移出 analytics**:
+
+- 读(列表): 走 `ManualRefundClean`(薄视图 `public.manual_refund_clean`)
+- 写(确认/修正): 走 ods 基表 `ManualRefund`(可写)
+
+行为与签名逐字不变, 仅数据源归属调整。
+"""
+
+import datetime as _dt
+from typing import Any
+
+from sqlalchemy import func, select
+from sqlalchemy.orm import Session
+
+from app.models.manual_refund import ManualRefund
+from app.models.ods_clean import ManualRefundClean
+from app.services.analytics._core import TZ, D
+
+
+def _mr_quality_out(r: ManualRefund) -> dict[str, Any]:
+    """手动退款登记行 → 质量审核输出"""
+    def _sh(dt):
+        return dt.astimezone(TZ).strftime("%Y-%m-%d %H:%M:%S") if dt else None
+    return {
+        "id": r.id,
+        "register_time": _sh(r.register_time),
+        "op_time": _sh(r.op_time),
+        "is_refunded": r.is_refunded,
+        "refund_amount": float(r.refund_amount or 0),
+        "order_amount": float(r.order_amount or 0),
+        "device_sn": r.device_sn,
+        "order_no": r.order_no,
+        "merchant_id": r.merchant_id,
+        "registrant": r.registrant,
+        "refund_operator": r.refund_operator,
+        "remark": r.remark,
+        "quality_status": r.quality_status,
+        "quality_note": r.quality_note,
+    }
+
+def manual_refund_quality_list(db: Session, status: str = "all", page: int = 1, page_size: int = 50) -> dict[str, Any]:
+    """手动退款登记质量审核列表: status = all/pending/auto_fixed/ok
+
+    统计摘要: 各状态计数(供前端徽标)。列表按登记日期倒序。
+    """
+    summary = {}
+    for st in ("pending", "auto_fixed", "ok"):
+        summary[st] = db.scalar(
+            select(func.count()).select_from(ManualRefundClean).where(ManualRefundClean.quality_status == st)
+        ) or 0
+    q = select(ManualRefundClean)
+    if status in ("pending", "auto_fixed", "ok"):
+        q = q.where(ManualRefundClean.quality_status == status)
+    total = db.scalar(select(func.count()).select_from(q.subquery())) or 0
+    rows = db.execute(
+        q.order_by(ManualRefundClean.register_time.desc())
+        .offset((page - 1) * page_size).limit(page_size)
+    ).scalars().all()
+    return {"total": total, "summary": summary,
+            "list": [_mr_quality_out(r) for r in rows]}
+
+def manual_refund_quality_confirm(db: Session, rid: int) -> dict[str, Any]:
+    """人工确认通过: quality_status → ok (保留纠错说明, 追加确认标记)"""
+    r = db.get(ManualRefund, rid)
+    if not r:
+        raise ValueError(f"手动退款记录不存在: id={rid}")
+    r.quality_status = "ok"
+    r.quality_note = ((r.quality_note or "") + " | 人工确认通过") if r.quality_note else "人工确认通过"
+    db.commit()
+    return {"id": rid, "quality_status": "ok"}
+
+def manual_refund_quality_fix(db: Session, rid: int, payload: dict[str, Any]) -> dict[str, Any]:
+    """人工修正: 更新指定字段(register_time/op_time/is_refunded/refund_amount/order_no/device_sn等),
+    修正后置 ok。仅接受白名单字段, 时间字段支持 'YYYY-MM-DD' / 'YYYY-MM-DD HH:MM:SS' / ISO 格式。
+    """
+    r = db.get(ManualRefund, rid)
+    if not r:
+        raise ValueError(f"手动退款记录不存在: id={rid}")
+    allowed = {"register_time", "op_time", "is_refunded", "refund_amount", "order_amount",
+               "order_no", "device_sn", "merchant_id", "registrant", "refund_operator", "remark"}
+    changes = []
+    for k, v in (payload or {}).items():
+        if k not in allowed or v is None:
+            continue
+        if k in ("register_time", "op_time"):
+            setattr(r, k, _dt.datetime.fromisoformat(str(v)) if isinstance(v, str) and "T" in str(v)
+                    else _dt.datetime.strptime(str(v), "%Y-%m-%d %H:%M:%S")
+                    if isinstance(v, str) and len(str(v)) > 10
+                    else _dt.datetime.strptime(str(v), "%Y-%m-%d"))
+            changes.append(k)
+        elif k in ("refund_amount", "order_amount"):
+            setattr(r, k, D(v))
+            changes.append(k)
+        else:
+            setattr(r, k, str(v))
+            changes.append(k)
+    r.quality_status = "ok"
+    r.quality_note = ((r.quality_note or "") + f" | 人工修正字段: {','.join(changes)}") if changes else (r.quality_note or "")
+    db.commit()
+    return {"id": rid, "quality_status": "ok", "changed": changes}

backend/tests/conftest.py

@@ -111,6 +111,10 @@ def _engine():
         import app.models  # noqa: F401  确保所有模型已注册到 Base.metadata
         from app.core.database import Base
 
+        # #322 方案A: 干净层视图清单(视图名 → (源表全限定名, 列清单))。迁移/conftest
+        #   共用同一来源, 保证「视图 DDL 与模型/迁移逐字一致」。
+        from app.models.ods_clean import CLEAN_VIEWS
+
         # 2026-09-23: create_all 不 ALTER 已有表; 旧测试库的 governance_prompts /
         # onboarding_prompts 缺新列(change_reason/references/activated_at/by)且 code
         # 仍带旧 unique 约束(多版本行 INSERT 会冲突)。先 DROP 让 create_all 按新模型重建。
@@ -143,47 +147,37 @@ def _engine():
                 conn.execute(text(f'DROP TABLE IF EXISTS public."{_t}" CASCADE'))
             conn.commit()
 
-        # #322 方案A: create_all 会按 RefundClean 模型把 refund_clean 建成**表**(见下方说明),
+        # #322 方案A: create_all 会按各 *Clean 模型把视图名建成**表**(见下方说明),
         #   故先移除同名残留对象(可能是上一轮遗留的视图或表), 让 create_all 能干净地按模型建表。
         #   PG 的 DROP VIEW/TABLE 在对象类型不符时会报 WrongObjectType(即使带 IF EXISTS),
-        #   故用 DO 块按 pg_class.relkind 判定后再删。
+        #   故先按 pg_class.relkind 判定对象类型, 再删对应类型。
         with engine.connect() as conn:
-            conn.execute(text(
+            for _view in CLEAN_VIEWS:
-                """
+                _relkind = conn.execute(
-                DO $$
+                    text(
-                BEGIN
+                        "SELECT c.relkind FROM pg_class c JOIN pg_namespace n ON n.oid = c.relnamespace "
-                    IF EXISTS (SELECT 1 FROM pg_class c JOIN pg_namespace n ON n.oid = c.relnamespace
+                        "WHERE n.nspname = 'public' AND c.relname = :rn"
-                               WHERE n.nspname = 'public' AND c.relname = 'refund_clean'
+                    ),
-                                 AND c.relkind = 'v') THEN
+                    {"rn": _view},
-                        DROP VIEW public.refund_clean;
+                ).scalar()
-                    END IF;
+                if _relkind == "v":
-                    IF EXISTS (SELECT 1 FROM pg_class c JOIN pg_namespace n ON n.oid = c.relnamespace
+                    conn.execute(text(f'DROP VIEW public."{_view}"'))
-                               WHERE n.nspname = 'public' AND c.relname = 'refund_clean'
+                elif _relkind in ("r", "p"):
-                                 AND c.relkind IN ('r', 'p')) THEN
+                    conn.execute(text(f'DROP TABLE public."{_view}" CASCADE'))
-                        DROP TABLE public.refund_clean CASCADE;
-                    END IF;
-                END $$;
-                """
-            ))
             conn.commit()
 
         Base.metadata.create_all(bind=engine)
 
-        # #322 方案A: create_all 会按 RefundClean 模型把 refund_clean 建成**表**,
+        # #322 方案A: create_all 会把各 *Clean 模型建成**表**(视图无法由 create_all 建),
-        #   与线上的**视图**(over ods.refunds)不符; 且 analytics 现已全部改读
+        #   与线上的**视图**(over ods 源表)不符; 且 analytics 现已全部改读这些视图,
-        #   refund_clean, 若留 create_all 的空表会口径错位/用例全红。
+        #   若留 create_all 的空表会口径错位/用例全红。
         #   测试库不跑 Alembic 迁移, 故在此拆表重建为视图。
-        #   CREATE VIEW 的列清单与迁移 a9b0c1d2e3f4 逐字一致(改一处须同步另一处)。
+        #   CREATE VIEW 的列清单与迁移 c3d4e5f6a7b8 共用 CLEAN_VIEWS(改一处即同步)。
-        #   顺序: create_all 先建出视图依赖的 ods.refunds → 再建视图 → 最后 stamp。
+        #   顺序: create_all 先建出视图依赖的 ods 源表 → 再建视图 → 最后 stamp。
         with engine.connect() as conn:
-            conn.execute(text("DROP TABLE IF EXISTS public.refund_clean CASCADE"))
+            for _view, (_src, _cols) in CLEAN_VIEWS.items():
-            conn.execute(text(
+                conn.execute(text(f'DROP TABLE IF EXISTS public."{_view}" CASCADE'))
-                "CREATE VIEW refund_clean AS SELECT "
+                conn.execute(text(f'CREATE VIEW public."{_view}" AS SELECT {_cols} FROM {_src}'))
-                "refund_no, platform_order_no, third_order_no, device_sn, refund_reason, package_name, "
-                "merchant_name, refund_amount, actual_amount, remark, status, refund_method, "
-                "audit_remark, auditor, operator, created_at_raw, updated_at_raw, actual_refund_time, "
-                "quality_status, created_at, updated_at FROM ods.refunds"
-            ))
             conn.commit()
 
         # ⚠️ 2026-09-07 修复: create_all 建表后 stamp alembic 到 head。

scripts/analytics_ods_isolation_baseline.txt

@@ -1,66 +1,3 @@
 # C2 棘轮基线: analytics 读 ods 源表的存量违规 (#319 C2 / P2 逐域收敛)
 # 每行一签: <文件>|<类型>|<token>；P2 每切换一个域, 该域条目应减少。
-backend/app/services/analytics/_core.py|orm_model|BmsOrder
+
-backend/app/services/analytics/_core.py|orm_model|CardComplaint
-backend/app/services/analytics/_core.py|orm_model|DeviceCombo
-backend/app/services/analytics/_core.py|orm_model|ExternalComplaint
-backend/app/services/analytics/_core.py|orm_model|RefundRecordReport
-backend/app/services/analytics/_core.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/cash.py|orm_model|ManualRefund
-backend/app/services/analytics/cash.py|orm_model|RefundRecordReport
-backend/app/services/analytics/cash.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/category.py|orm_model|DeviceCombo
-backend/app/services/analytics/category.py|orm_model|DeviceFlowUsage
-backend/app/services/analytics/category.py|sql_table|device_combos
-backend/app/services/analytics/complaint.py|orm_model|BmsOrder
-backend/app/services/analytics/complaint.py|orm_model|CsRecord
-backend/app/services/analytics/reception.py|orm_model|CsRecord
-backend/app/services/analytics/refund.py|orm_model|BmsOrder
-backend/app/services/analytics/refund.py|orm_model|ManualRefund
-backend/app/services/analytics/refund.py|sql_table|cs_records
-backend/app/services/analytics/refund.py|sql_table|device_combos
-backend/app/services/analytics/refund.py|sql_table|manual_refunds
-backend/app/services/analytics/refund.py|sql_table|refund_record_reports
-backend/app/services/analytics/refund.py|sql_table|shanmao_refunds
-backend/app/services/analytics/refund.py|sql_table|wallet_withdrawals
-backend/app/services/analytics/refund_chain.py|orm_model|ManualRefund
-backend/app/services/analytics/refund_chain.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/refund_chain.py|sql_table|wallet_withdrawals
-backend/app/services/analytics/rr_views.py|orm_model|CardComplaint
-backend/app/services/analytics/rr_views.py|orm_model|CsRecord
-backend/app/services/analytics/rr_views.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_kpi.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_kpi.py|orm_model|CsRecord
-backend/app/services/analytics/today/_kpi.py|orm_model|DeviceCombo
-backend/app/services/analytics/today/_kpi.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_kpi.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_kpi.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/today/_queue.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_queue.py|orm_model|CsRecord
-backend/app/services/analytics/today/_queue.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_queue.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_queue.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/today/_reception.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_reception.py|orm_model|CsRecord
-backend/app/services/analytics/today/_reception.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_reception.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_reception.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/today/_reception.py|sql_table|card_complaints
-backend/app/services/analytics/today/_reception.py|sql_table|cs_records
-backend/app/services/analytics/today/_reception.py|sql_table|external_complaints
-backend/app/services/analytics/today/_refund.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_refund.py|orm_model|CsRecord
-backend/app/services/analytics/today/_refund.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_refund.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_refund.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/today/_staff.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_staff.py|orm_model|CsRecord
-backend/app/services/analytics/today/_staff.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_staff.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_staff.py|orm_model|WalletWithdrawal
-backend/app/services/analytics/today/_staff.py|sql_table|cs_records
-backend/app/services/analytics/today/_trend.py|orm_model|CardComplaint
-backend/app/services/analytics/today/_trend.py|orm_model|CsRecord
-backend/app/services/analytics/today/_trend.py|orm_model|ExternalComplaint
-backend/app/services/analytics/today/_trend.py|orm_model|RefundRecordReport
-backend/app/services/analytics/today/_trend.py|orm_model|WalletWithdrawal