"""客户数据访问(含归属变更留痕)。 本层只 flush 不 commit —— 事务边界由 services 层控制。 """ from sqlalchemy import ColumnElement, Row, Select, func, or_, select from sqlalchemy.orm import Session, aliased from app.models import Customer, OwnershipChangeLog, Personnel from app.models.customer import OWNER_TYPE_CUSTOMER from app.repositories.query_utils import fuzzy # 归属留痕表对人员 ID 无外键固化:新旧人员姓名靠对 personnel 的两次外联带出, # 人员被删除后姓名为 null,行仍完整可读 _old_owner = aliased(Personnel) _new_owner = aliased(Personnel) # ==================== 读取 ==================== def get_by_id(session: Session, customer_id: int) -> Customer | None: """按主键查询客户。""" return session.get(Customer, customer_id) def count_business_refs(session: Session, customer_id: int) -> int: """被业务单据引用的次数(删除保护;业务表就位后补齐的检查)。""" from app.models import Business return int( session.execute( select(func.count()) .select_from(Business) .where(Business.customer_id == customer_id) ).scalar_one() ) def get_with_owner_name(session: Session, customer_id: int) -> Row | None: """查单个客户并带出归属人员姓名(详情、编辑回显与归属变更共用)。""" stmt = _base_select().where(Customer.id == customer_id) return session.execute(stmt).first() def get_by_company_owner(session: Session, company_name: str, owner_name: str) -> Customer | None: """按「公司名称 + 负责人」查客户(uk_customers_company_owner 的先查后写兜底)。""" stmt = select(Customer).where( Customer.company_name == company_name, Customer.owner_name == owner_name, ) return session.execute(stmt).scalar_one_or_none() def list_customers( session: Session, *, offset: int, limit: int, keyword: str | None = None, customer_type: str | None = None, owner_personnel_id: int | None = None, ) -> list[Row]: """分页查询客户,行内容为 (客户, 归属人员姓名)。 归属人员外键非空但统一用 outerjoin:人员行不可考(被物理删除的脏数据) 不应让客户行整个查不出来(同 personnel_repository 的韧性口径)。 排序按 id 倒序:客户无排序字段,新增的靠前符合列表页习惯。 """ stmt = _apply_filters( _base_select(), keyword=keyword, customer_type=customer_type, owner_personnel_id=owner_personnel_id, ) stmt = stmt.order_by(Customer.id.desc()).offset(offset).limit(limit) return list(session.execute(stmt).all()) def count_customers( session: Session, *, keyword: str | None = None, customer_type: str | None = None, owner_personnel_id: int | None = None, ) -> int: """统计符合条件的客户总数,供分页使用。 筛选条件全部落在主表上,计数无需 join(列表与计数的筛选口径由 ``_apply_filters`` 单点保证)。 """ stmt = _apply_filters( select(func.count(Customer.id)), keyword=keyword, customer_type=customer_type, owner_personnel_id=owner_personnel_id, ) return int(session.execute(stmt).scalar_one()) def list_ownership_logs( session: Session, *, customer_id: int, offset: int, limit: int, ) -> list[Row]: """查某客户的归属变更留痕,行内容为 (留痕, 旧归属人名, 新归属人名)。 按 (create_time, id) 双键倒序:create_time 是秒级精度,同一秒内多条 记录排序不确定,id 兜底保证翻页稳定(与操作日志同一理由)。 """ stmt = ( select(OwnershipChangeLog, _old_owner.personnel_name, _new_owner.personnel_name) .outerjoin(_old_owner, OwnershipChangeLog.old_owner_personnel_id == _old_owner.id) .outerjoin(_new_owner, OwnershipChangeLog.new_owner_personnel_id == _new_owner.id) .where( OwnershipChangeLog.owner_type == OWNER_TYPE_CUSTOMER, OwnershipChangeLog.customer_id == customer_id, ) .order_by(OwnershipChangeLog.create_time.desc(), OwnershipChangeLog.id.desc()) .offset(offset) .limit(limit) ) return list(session.execute(stmt).all()) def count_ownership_logs(session: Session, *, customer_id: int) -> int: """统计某客户的归属留痕总数,供分页使用。""" stmt = select(func.count(OwnershipChangeLog.id)).where( OwnershipChangeLog.owner_type == OWNER_TYPE_CUSTOMER, OwnershipChangeLog.customer_id == customer_id, ) return int(session.execute(stmt).scalar_one()) def _base_select() -> Select: """客户主表外联归属人员姓名。""" return select(Customer, Personnel.personnel_name).outerjoin( Personnel, Customer.owner_personnel_id == Personnel.id ) def _apply_filters( stmt: Select, *, keyword: str | None, customer_type: str | None, owner_personnel_id: int | None, ) -> Select: """应用通用筛选条件。列表与计数共用,避免两处口径不一致。""" if keyword: stmt = stmt.where(_keyword_clause(keyword)) if customer_type: stmt = stmt.where(Customer.customer_type == customer_type) if owner_personnel_id is not None: stmt = stmt.where(Customer.owner_personnel_id == owner_personnel_id) return stmt def _keyword_clause(keyword: str) -> ColumnElement[bool]: """关键词条件:公司名称或客户负责人两列 OR 模糊。 借 ``query_utils.fuzzy`` 在空 select 上生成单列条件后取 whereclause 做 OR 合并 —— LIKE 通配符转义口径单点维护;两处手写 ``contains`` 迟早有 一处漏掉 ``autoescape``(人名含下划线是常态,不转义会当单字符通配执行)。 """ probe = select(Customer.id) return or_( fuzzy(probe, Customer.company_name, keyword).whereclause, fuzzy(probe, Customer.owner_name, keyword).whereclause, ) # ==================== 写入 ==================== def create(session: Session, customer: Customer) -> Customer: """新增客户。只 flush 以取得自增 id。""" session.add(customer) session.flush() return customer def delete(session: Session, customer: Customer) -> None: """删除客户。调用方须先完成引用保护校验。""" session.delete(customer) session.flush() def add_ownership_log(session: Session, log: OwnershipChangeLog) -> OwnershipChangeLog: """写入一条归属变更留痕。只 flush 不 commit,与主表归属更新同事务提交。""" session.add(log) session.flush() return log