feat: P1-P3 全栈集成 — 数据库基础 + DWS 扩展 + 小程序鉴权 + 工程化体系
## P1 数据库基础 - zqyy_app: 创建 auth/biz schema、FDW 连接 etl_feiqiu - etl_feiqiu: 创建 app schema RLS 视图、商品库存预警表 - 清理 assistant_abolish 残留数据 ## P2 ETL/DWS 扩展 - 新增 DWS 助教订单贡献度表 (dws.assistant_order_contribution) - 新增 assistant_order_contribution_task 任务及 RLS 视图 - member_consumption 增加充值字段、assistant_daily 增加处罚字段 - 更新 ODS/DWD/DWS 任务文档及业务规则文档 - 更新 consistency_checker、flow_runner、task_registry 等核心模块 ## P3 小程序鉴权系统 - 新增 xcx_auth 路由/schema（微信登录 + JWT） - 新增 wechat/role/matching/application 服务层 - zqyy_app 鉴权表迁移 + 角色权限种子数据 - auth/dependencies.py 支持小程序 JWT 鉴权 ## 文档与审计 - 新增 DOCUMENTATION-MAP 文档导航 - 新增 7 份 BD_Manual 数据库变更文档 - 更新 DDL 基线快照（etl_feiqiu 6 schema + zqyy_app auth） - 新增全栈集成审计记录、部署检查清单更新 - 新增 BACKLOG 路线图、FDW→Core 迁移计划 ## Kiro 工程化 - 新增 5 个 Spec（P1/P2/P3/全栈集成/核心业务） - 新增审计自动化脚本（agent_on_stop/build_audit_context/compliance_prescan） - 新增 6 个 Hook（合规检查/会话日志/提交审计等） - 新增 doc-map steering 文件 ## 运维与测试 - 新增 ops 脚本：迁移验证/API 健康检查/ETL 监控/集成报告 - 新增属性测试：test_dws_contribution / test_auth_system - 清理过期 export 报告文件 - 更新 .gitignore 排除规则
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170
apps/backend/app/services/matching.py
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170
apps/backend/app/services/matching.py
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# -*- coding: utf-8 -*-
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"""
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人员匹配服务 —— 根据申请信息在 FDW 外部表中查找候选匹配。
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职责：
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- find_candidates()：根据 site_id + phone（+ employee_number）在助教表和员工表中查找匹配
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查询通过业务库的 fdw_etl Schema 访问 ETL 库的 RLS 视图。
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查询前需 SET LOCAL app.current_site_id 以启用门店隔离。
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FDW 外部表可能不存在（测试库等场景），需优雅降级返回空列表。
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"""
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from __future__ import annotations
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import logging
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from app.database import get_connection
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logger = logging.getLogger(__name__)
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async def find_candidates(
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site_id: int | None,
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phone: str,
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employee_number: str | None = None,
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) -> list[dict]:
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"""
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在助教表和员工表中查找匹配候选。
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查询逻辑：
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1. 若 site_id 为 None，跳过匹配，返回空列表
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2. 设置 app.current_site_id 进行 RLS 隔离
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3. fdw_etl.v_dim_assistant: WHERE mobile = phone
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4. fdw_etl.v_dim_staff JOIN fdw_etl.v_dim_staff_ex: WHERE mobile = phone OR job_num = employee_number
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5. 合并结果返回统一候选列表
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参数:
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site_id: 门店 ID（None 时跳过匹配）
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phone: 手机号
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employee_number: 员工编号（可选，用于 job_num 匹配）
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返回:
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[{"source_type": "assistant"|"staff", "id": int, "name": str,
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"mobile": str|None, "job_num": str|None}]
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"""
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# site_id 为空时直接返回空列表（需求 5.6）
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if site_id is None:
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return []
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candidates: list[dict] = []
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conn = get_connection()
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try:
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conn.autocommit = False
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with conn.cursor() as cur:
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# 设置 RLS 隔离：FDW 会透传 session 变量到远端 ETL 库
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cur.execute(
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"SET LOCAL app.current_site_id = %s", (str(site_id),)
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)
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# 1. 查询助教匹配
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candidates.extend(_query_assistants(cur, phone))
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# 2. 查询员工匹配
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candidates.extend(_query_staff(cur, phone, employee_number))
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conn.commit()
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except Exception:
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logger.warning(
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"FDW 人员匹配查询失败 (site_id=%s, phone=%s)，返回空列表",
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site_id,
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phone,
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exc_info=True,
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)
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try:
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conn.rollback()
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except Exception:
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pass
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return []
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finally:
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conn.close()
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return candidates
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def _query_assistants(cur, phone: str) -> list[dict]:
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"""查询 fdw_etl.v_dim_assistant 中按 mobile 匹配的助教记录。"""
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try:
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cur.execute(
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"""
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SELECT assistant_id, real_name, mobile
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FROM fdw_etl.v_dim_assistant
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WHERE mobile = %s
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AND scd2_is_current = TRUE
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""",
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(phone,),
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)
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rows = cur.fetchall()
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except Exception:
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logger.warning(
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"查询 fdw_etl.v_dim_assistant 失败，跳过助教匹配",
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exc_info=True,
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)
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return []
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return [
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{
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"source_type": "assistant",
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"id": row[0],
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"name": row[1] or "",
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"mobile": row[2],
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"job_num": None,
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}
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for row in rows
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]
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def _query_staff(
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cur, phone: str, employee_number: str | None
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) -> list[dict]:
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"""
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查询 fdw_etl.v_dim_staff JOIN fdw_etl.v_dim_staff_ex
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按 mobile 或 job_num 匹配的员工记录。
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"""
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try:
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# 构建 WHERE 条件：mobile = phone，或 job_num = employee_number
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if employee_number:
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cur.execute(
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"""
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SELECT s.staff_id, s.staff_name, s.mobile, ex.job_num
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FROM fdw_etl.v_dim_staff s
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LEFT JOIN fdw_etl.v_dim_staff_ex ex
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ON s.staff_id = ex.staff_id
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AND ex.scd2_is_current = TRUE
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WHERE s.scd2_is_current = TRUE
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AND (s.mobile = %s OR ex.job_num = %s)
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""",
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(phone, employee_number),
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)
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else:
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cur.execute(
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"""
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SELECT s.staff_id, s.staff_name, s.mobile, ex.job_num
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FROM fdw_etl.v_dim_staff s
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LEFT JOIN fdw_etl.v_dim_staff_ex ex
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ON s.staff_id = ex.staff_id
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AND ex.scd2_is_current = TRUE
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WHERE s.scd2_is_current = TRUE
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AND s.mobile = %s
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""",
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(phone,),
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)
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rows = cur.fetchall()
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except Exception:
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logger.warning(
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"查询 fdw_etl.v_dim_staff 失败，跳过员工匹配",
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exc_info=True,
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)
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return []
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return [
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{
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"source_type": "staff",
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"id": row[0],
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"name": row[1] or "",
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"mobile": row[2],
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"job_num": row[3],
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}
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for row in rows
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]
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