refactor(backend): 仓储层散参数收敛为查询 DTO

仓储层的 list_*/count_* 此前以 keyword/status/offset/limit 四五个散参数
传参,调用点重复铺开、易漏传且不可扩展;按项目「参数 >4 封装 DTO」的
约定统一收敛为各模块的 Query 对象(如 RoleQuery、BusinessQuery),
服务层与测试调用同步调整,行为不变。

- repositories 层查询方法签名改为 (session, query),分页与筛选条件
  由 Query 承载,_apply_filters 同步收口
- schemas 层补齐各模块 Query 模型(approval/business_role/report 等)
- services 层调用点同步改为传 Query
- tests 随之调整;新增用例:待办角色流转(财务通过后领导出现待办)、
  参数预览顺序稳定

验证:全量 pytest 900 passed(11:08);单元 526 passed;ruff check 绿。

Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
liuwenxinandClaude Code committed 2026-10-22 19:43:20 +08:00
1 parent c48d24ab6d
commit 5ece9f6dab
45 files changed
+1045 -1028

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+29 -73
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@@ -5,8 +5,6 @@
models/customer.py 定义)。
"""
from datetime import date
from sqlalchemy import Row, Select, delete, exists, func, or_, select, update
from sqlalchemy.orm import Session, aliased
@@ -23,6 +21,8 @@ from app.models import (
)
from app.models.customer import OWNER_TYPE_BUSINESS
from app.repositories import ownership_log_repository
from app.repositories.ownership_log_repository import OwnershipLogRef
from app.schemas.business import BusinessQuery
def get_by_id(session: Session, business_id: int, *, for_update: bool = False) -> Business | None:
@@ -77,50 +77,32 @@ def get_with_names(
return session.execute(stmt).first()
def _apply_filters(
stmt: Select,
*,
keyword: str | None,
status: int | None,
customer_id: int | None,
owner_personnel_id: int | None,
date_from: date | None,
date_to: date | None,
) -> Select:
def _apply_filters(stmt: Select, query: BusinessQuery) -> Select:
"""业务列表的筛选条件(调用方须已 join Customer)。"""
if keyword:
if query.keyword:
# 业务编号/公司名称双列 OR 模糊;contains(autoescape) 同 query_utils.fuzzy
# 的转义口径(fuzzy 为单列 where 语义,双列 OR 在此直接组合)
stmt = stmt.where(
or_(
Business.business_no.contains(keyword, autoescape=True),
Customer.company_name.contains(keyword, autoescape=True),
Business.business_no.contains(query.keyword, autoescape=True),
Customer.company_name.contains(query.keyword, autoescape=True),
)
)
if status is not None:
stmt = stmt.where(Business.status == status)
if customer_id is not None:
stmt = stmt.where(Business.customer_id == customer_id)
if owner_personnel_id is not None:
stmt = stmt.where(Business.owner_personnel_id == owner_personnel_id)
if date_from is not None:
stmt = stmt.where(Business.business_date >= date_from)
if date_to is not None:
stmt = stmt.where(Business.business_date <= date_to)
if query.status is not None:
stmt = stmt.where(Business.status == query.status)
if query.customer_id is not None:
stmt = stmt.where(Business.customer_id == query.customer_id)
if query.owner_personnel_id is not None:
stmt = stmt.where(Business.owner_personnel_id == query.owner_personnel_id)
if query.date_from is not None:
stmt = stmt.where(Business.business_date >= query.date_from)
if query.date_to is not None:
stmt = stmt.where(Business.business_date <= query.date_to)
return stmt
def list_businesses(
session: Session,
*,
offset: int,
limit: int,
keyword: str | None,
status: int | None,
customer_id: int | None,
owner_personnel_id: int | None,
date_from: date | None,
date_to: date | None,
session: Session, query: BusinessQuery
) -> list[tuple[Business, str, str | None, str | None]]:
"""分页查询业务(附客户名/负责人名/协助人名),按 id 倒序。"""
owner = aliased(Personnel)
@@ -128,49 +110,24 @@ def list_businesses(
stmt = select(
Business, Customer.company_name, owner.personnel_name, assistant.personnel_name
).join(Customer, Customer.id == Business.customer_id)
stmt = _apply_filters(
stmt,
keyword=keyword,
status=status,
customer_id=customer_id,
owner_personnel_id=owner_personnel_id,
date_from=date_from,
date_to=date_to,
)
stmt = _apply_filters(stmt, query)
stmt = (
stmt.outerjoin(owner, owner.id == Business.owner_personnel_id)
.outerjoin(assistant, assistant.id == Business.assistant_personnel_id)
.order_by(Business.id.desc())
.offset(offset)
.limit(limit)
.offset(query.offset)
.limit(query.page_size)
)
return list(session.execute(stmt).all())
def count_businesses(
session: Session,
*,
keyword: str | None,
status: int | None,
customer_id: int | None,
owner_personnel_id: int | None,
date_from: date | None,
date_to: date | None,
) -> int:
def count_businesses(session: Session, query: BusinessQuery) -> int:
stmt = (
select(func.count())
.select_from(Business)
.join(Customer, Customer.id == Business.customer_id)
)
stmt = _apply_filters(
stmt,
keyword=keyword,
status=status,
customer_id=customer_id,
owner_personnel_id=owner_personnel_id,
date_from=date_from,
date_to=date_to,
)
stmt = _apply_filters(stmt, query)
return int(session.execute(stmt).scalar_one())
@@ -313,18 +270,17 @@ def list_ownership_logs(
) -> list[Row]:
"""某业务的归属变更留痕(共享实现,owner_type/business_id 参数化)。"""
return ownership_log_repository.list_by_ref(
session,
owner_type=OWNER_TYPE_BUSINESS,
ref_column=OwnershipChangeLog.business_id,
ref_id=business_id,
offset=offset,
limit=limit,
session, _business_log_ref(business_id), offset=offset, limit=limit
)
def count_ownership_logs(session: Session, business_id: int) -> int:
return ownership_log_repository.count_by_ref(
session,
return ownership_log_repository.count_by_ref(session, _business_log_ref(business_id))
def _business_log_ref(business_id: int) -> OwnershipLogRef:
"""业务维度的归属留痕锚点。"""
return OwnershipLogRef(
owner_type=OWNER_TYPE_BUSINESS,
ref_column=OwnershipChangeLog.business_id,
ref_id=business_id,
@@ -7,6 +7,7 @@ from sqlalchemy import Select, func, or_, select
from sqlalchemy.orm import Session
from app.models import BusinessRole
from app.schemas.business_role import BusinessRoleQuery
# ==================== 读取 ====================
@@ -39,41 +40,48 @@ def list_by_codes(session: Session, role_codes: list[str]) -> dict[str, Business
return {role.role_code: role for role in rows}
def list_roles(
session: Session,
*,
offset: int,
limit: int,
keyword: str | None = None,
status: int | None = None,
) -> list[BusinessRole]:
def list_roles(session: Session, query: BusinessRoleQuery) -> list[BusinessRole]:
"""分页查询岗位(含停用)。排序 (sort_order, id),与系统角色口径一致。"""
stmt = _apply_filters(select(BusinessRole), keyword=keyword, status=status)
stmt = stmt.order_by(BusinessRole.sort_order, BusinessRole.id).offset(offset).limit(limit)
stmt = _apply_filters(select(BusinessRole), query)
stmt = (
stmt.order_by(BusinessRole.sort_order, BusinessRole.id)
.offset(query.offset)
.limit(query.page_size)
)
return list(session.execute(stmt).scalars())
def count_roles(session: Session, *, keyword: str | None = None, status: int | None = None) -> int:
def count_roles(session: Session, query: BusinessRoleQuery) -> int:
"""统计符合条件的岗位总数,供分页使用。"""
stmt = _apply_filters(select(func.count(BusinessRole.id)), keyword=keyword, status=status)
stmt = _apply_filters(select(func.count(BusinessRole.id)), query)
return int(session.execute(stmt).scalar_one())
def _apply_filters(stmt: Select, *, keyword: str | None, status: int | None) -> Select:
def list_all(session: Session) -> list[BusinessRole]:
"""全部岗位(含停用,不分页)——岗位下拉选项的取数口径。
岗位规模有限(内置 + 自定义),一次取全量,不受分页上限约束;
排序与 list_roles 一致(sort_order, id),下拉与列表相对次序相同。
"""
stmt = select(BusinessRole).order_by(BusinessRole.sort_order, BusinessRole.id)
return list(session.execute(stmt).scalars())
def _apply_filters(stmt: Select, query: BusinessRoleQuery) -> 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。
关键词走 ``contains(autoescape=True)``(转义 LIKE 通配符)——岗位编码含下划线,
不转义时 ``_`` 会当单字符通配执行。
"""
if keyword:
if query.keyword:
stmt = stmt.where(
or_(
BusinessRole.role_code.contains(keyword, autoescape=True),
BusinessRole.role_name.contains(keyword, autoescape=True),
BusinessRole.role_code.contains(query.keyword, autoescape=True),
BusinessRole.role_name.contains(query.keyword, autoescape=True),
)
)
if status is not None:
stmt = stmt.where(BusinessRole.status == status)
if query.status is not None:
stmt = stmt.where(BusinessRole.status == query.status)
return stmt
+21 -47
View File
@@ -9,7 +9,9 @@ from sqlalchemy.orm import Session
from app.models import Customer, OwnershipChangeLog, Personnel
from app.models.customer import OWNER_TYPE_CUSTOMER
from app.repositories import ownership_log_repository
from app.repositories.ownership_log_repository import OwnershipLogRef
from app.repositories.query_utils import fuzzy
from app.schemas.customer import CustomerQuery
# ==================== 读取 ====================
@@ -45,49 +47,25 @@ def get_by_company_owner(session: Session, company_name: str, owner_name: str) -
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]:
def list_customers(session: Session, query: CustomerQuery) -> 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)
stmt = _apply_filters(_base_select(), query)
stmt = stmt.order_by(Customer.id.desc()).offset(query.offset).limit(query.page_size)
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:
def count_customers(session: Session, query: CustomerQuery) -> 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,
)
stmt = _apply_filters(select(func.count(Customer.id)), query)
return int(session.execute(stmt).scalar_one())
@@ -101,9 +79,7 @@ def list_ownership_logs(
"""查某客户的归属变更留痕(共享实现,owner_type/customer_id 参数化)。"""
return ownership_log_repository.list_by_ref(
session,
owner_type=OWNER_TYPE_CUSTOMER,
ref_column=OwnershipChangeLog.customer_id,
ref_id=customer_id,
_customer_log_ref(customer_id),
offset=offset,
limit=limit,
)
@@ -111,8 +87,12 @@ def list_ownership_logs(
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。"""
return ownership_log_repository.count_by_ref(
session,
return ownership_log_repository.count_by_ref(session, _customer_log_ref(customer_id))
def _customer_log_ref(customer_id: int) -> OwnershipLogRef:
"""客户维度的归属留痕锚点。"""
return OwnershipLogRef(
owner_type=OWNER_TYPE_CUSTOMER,
ref_column=OwnershipChangeLog.customer_id,
ref_id=customer_id,
@@ -126,20 +106,14 @@ def _base_select() -> Select:
)
def _apply_filters(
stmt: Select,
*,
keyword: str | None,
customer_type: str | None,
owner_personnel_id: int | None,
) -> Select:
def _apply_filters(stmt: Select, query: CustomerQuery) -> 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)
if query.keyword:
stmt = stmt.where(_keyword_clause(query.keyword))
if query.customer_type:
stmt = stmt.where(Customer.customer_type == query.customer_type)
if query.owner_personnel_id is not None:
stmt = stmt.where(Customer.owner_personnel_id == query.owner_personnel_id)
return stmt
@@ -34,20 +34,25 @@ _PENDING_STATUSES = (
# ==== 经营绩效总览 ====
def sum_month_performance(session: Session, month: str) -> dict:
"""当月单笔生效行合计与人员数(拆行求和不失真,人数需 DISTINCT)。"""
return session.execute(
select(
func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label(
"performance_total"
),
func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
func.count(func.distinct(PerformanceLedger.personnel_id)).label("person_count"),
).where(
PerformanceLedger.settlement_month == month,
*_ACTIVE_SINGLE,
return (
session.execute(
select(
func.coalesce(func.sum(PerformanceLedger.performance_amount), 0).label(
"performance_total"
),
func.coalesce(func.sum(PerformanceLedger.payable_amount), 0).label("payable_total"),
func.count(func.distinct(PerformanceLedger.personnel_id)).label("person_count"),
).where(
PerformanceLedger.settlement_month == month,
*_ACTIVE_SINGLE,
)
)
).mappings().one()
.mappings()
.one()
)
def performance_trend(session: Session, months: list[str]) -> dict[str, object]:
@@ -66,9 +71,7 @@ def performance_trend(session: Session, months: list[str]) -> dict[str, object]:
return dict(rows)
def receipt_trend(
session: Session, *, start_date: date, end_date: date
) -> dict[str, object]:
def receipt_trend(session: Session, *, start_date: date, end_date: date) -> dict[str, object]:
"""近 N 个月回款合计(按到账月,含未核算回款——与台账口径不同,页面注明)。
过滤走 ``receipt_date`` 原始列范围(可用索引);``DATE_FORMAT`` 只用于
@@ -107,6 +110,7 @@ def get_month_settlement(session: Session, month: str) -> MonthlySettlement | No
# ==== 待办事项 ====
def list_pending_approvals(
session: Session, *, statuses: tuple[int, ...], limit: int
) -> list[ApprovalOrder]:
@@ -160,15 +164,14 @@ def list_unassigned_receipts(session: Session, *, limit: int) -> list:
def count_unassigned_receipts(session: Session) -> int:
return int(
session.execute(
select(func.count())
.select_from(Receipt)
.where(Receipt.shipment_id.is_(None))
select(func.count()).select_from(Receipt).where(Receipt.shipment_id.is_(None))
).scalar_one()
)
# ==== 风险预警 ====
def list_overdue_shipments(session: Session, *, cutoff: date, limit: int) -> list:
"""发货后超过阈值且该批次无任何回款的发货单(回款逾期规则)。
@@ -1,5 +1,7 @@
"""登录日志数据访问。"""
from dataclasses import dataclass
from sqlalchemy import Select, func, select
from sqlalchemy.orm import Session
@@ -10,68 +12,73 @@ from app.repositories.query_utils import LogFilters, apply_log_filters
_USER_AGENT_MAX_LEN = 255
def add(
session: Session,
*,
user_id: int | None,
username: str,
ip: str | None,
user_agent: str | None,
success: bool,
fail_reason: str | None = None,
) -> None:
@dataclass(frozen=True, slots=True)
class LoginLogEntry:
"""一条待写入的登录日志(全字段 DTO)。
与 ``OperationLogEntry`` 同款做法:写入字段平铺传递时,任何一处漏传
都只表现为日志字段缺失、不报错(success 默认 0 的语义尤其隐蔽)。
"""
user_id: int | None
username: str
success: bool
ip: str | None = None
user_agent: str | None = None
fail_reason: str | None = None
@dataclass(frozen=True, slots=True)
class LoginLogListQuery:
"""登录日志列表的查询条件(筛选 + 分页)。"""
filters: LogFilters
offset: int = 0
limit: int = 20
ip: str | None = None
def add(session: Session, entry: LoginLogEntry) -> None:
"""写入一条登录日志。只 flush 不 commit。
**绝不记录密码** —— 明文与哈希都不写。日志是最容易泄漏凭据的地方。
:param user_id: 账号不存在时传 None(列本身可空)
:param username: 用户名原样记录,便于账号不存在时也能追溯
:param entry.user_id: 账号不存在时为 None(列本身可空)
:param entry.username: 用户名原样记录,便于账号不存在时也能追溯
"""
session.add(
LoginLog(
user_id=user_id,
username=username,
ip=ip,
user_agent=user_agent[:_USER_AGENT_MAX_LEN] if user_agent else None,
success=1 if success else 0,
fail_reason=fail_reason,
user_id=entry.user_id,
username=entry.username,
ip=entry.ip,
user_agent=entry.user_agent[:_USER_AGENT_MAX_LEN] if entry.user_agent else None,
success=1 if entry.success else 0,
fail_reason=entry.fail_reason,
)
)
session.flush()
def list_logs(
session: Session,
*,
offset: int,
limit: int,
filters: LogFilters,
ip: str | None = None,
) -> list[LoginLog]:
def list_logs(session: Session, query: LoginLogListQuery) -> list[LoginLog]:
"""分页查询登录日志。
**按 id 倒序而非 create_time**:后者是秒级精度,同一秒内的多条记录排序
不确定,翻页会重复或遗漏(与用户列表同一理由)。
"""
stmt = _apply_filters(select(LoginLog), filters=filters, ip=ip)
stmt = stmt.order_by(LoginLog.id.desc()).offset(offset).limit(limit)
stmt = _apply_filters(select(LoginLog), query)
stmt = stmt.order_by(LoginLog.id.desc()).offset(query.offset).limit(query.limit)
return list(session.execute(stmt).scalars())
def count_logs(
session: Session,
*,
filters: LogFilters,
ip: str | None = None,
) -> int:
def count_logs(session: Session, query: LoginLogListQuery) -> int:
"""统计符合条件的登录日志总数,供分页使用。"""
stmt = _apply_filters(select(func.count(LoginLog.id)), filters=filters, ip=ip)
stmt = _apply_filters(select(func.count(LoginLog.id)), query)
return int(session.execute(stmt).scalar_one())
def _apply_filters(stmt: Select, *, filters: LogFilters, ip: str | None) -> Select:
def _apply_filters(stmt: Select, query: LoginLogListQuery) -> Select:
"""应用筛选条件(公共部分复用 query_utils,与操作日志同口径)。"""
stmt = apply_log_filters(stmt, LoginLog, filters)
if ip:
stmt = stmt.where(LoginLog.ip == ip)
stmt = apply_log_filters(stmt, LoginLog, query.filters)
if query.ip:
stmt = stmt.where(LoginLog.ip == query.ip)
return stmt
@@ -107,15 +107,18 @@ def get_by_id(session: Session, log_id: int) -> OperationLog | None:
return session.get(OperationLog, log_id)
def list_logs(
session: Session,
*,
offset: int,
limit: int,
filters: LogFilters,
module: str | None = None,
action: str | None = None,
) -> list[OperationLog]:
@dataclass(frozen=True, slots=True)
class OperationLogListQuery:
"""操作日志列表的查询条件(筛选 + 分页)。"""
filters: LogFilters
offset: int = 0
limit: int = 20
module: str | None = None
action: str | None = None
def list_logs(session: Session, query: OperationLogListQuery) -> list[OperationLog]:
"""分页查询操作日志。
**按 id 倒序而非 create_time**:后者是秒级精度,同一秒内的多条记录排序
@@ -127,41 +130,25 @@ def list_logs(
"""
stmt = _apply_filters(
select(OperationLog).options(defer(OperationLog.request_data)),
filters=filters,
module=module,
action=action,
query,
)
stmt = stmt.order_by(OperationLog.id.desc()).offset(offset).limit(limit)
stmt = stmt.order_by(OperationLog.id.desc()).offset(query.offset).limit(query.limit)
return list(session.execute(stmt).scalars())
def count_logs(
session: Session,
*,
filters: LogFilters,
module: str | None = None,
action: str | None = None,
) -> int:
def count_logs(session: Session, query: OperationLogListQuery) -> int:
"""统计符合条件的日志总数,供分页使用。"""
stmt = _apply_filters(
select(func.count(OperationLog.id)), filters=filters, module=module, action=action
)
stmt = _apply_filters(select(func.count(OperationLog.id)), query)
return int(session.execute(stmt).scalar_one())
def _apply_filters(
stmt: Select,
*,
filters: LogFilters,
module: str | None,
action: str | None,
) -> Select:
def _apply_filters(stmt: Select, query: OperationLogListQuery) -> Select:
"""应用筛选条件(公共部分复用 query_utils,与登录日志同口径)。"""
stmt = apply_log_filters(stmt, OperationLog, filters)
if module:
stmt = stmt.where(OperationLog.module == module)
if action:
stmt = stmt.where(OperationLog.action == action)
stmt = apply_log_filters(stmt, OperationLog, query.filters)
if query.module:
stmt = stmt.where(OperationLog.module == query.module)
if query.action:
stmt = stmt.where(OperationLog.action == query.action)
return stmt
@@ -5,18 +5,32 @@ owner_type 与引用列由调用方参数化 —— 此前客户、业务两侧
「被删人员留痕仍可读」「翻页稳定双键倒序」等口径单点维护。
"""
from dataclasses import dataclass
from typing import Any
from sqlalchemy import Row, func, select
from sqlalchemy.orm import Session, aliased
from app.models import OwnershipChangeLog, Personnel
@dataclass(frozen=True, slots=True)
class OwnershipLogRef:
"""归属留痕的引用锚点(维度类型 + 引用列 + 引用 ID)。
引用列是 SQLAlchemy 列表达式(如 ``OwnershipChangeLog.customer_id``),
不是可序列化值 —— 故用冻结 dataclass 而非 Pydantic 模型。
"""
owner_type: int
ref_column: Any
ref_id: int
def list_by_ref(
session: Session,
ref: OwnershipLogRef,
*,
owner_type: int,
ref_column,
ref_id: int,
offset: int,
limit: int,
) -> list[Row]:
@@ -32,7 +46,7 @@ def list_by_ref(
select(OwnershipChangeLog, old_person.personnel_name, new_person.personnel_name)
.outerjoin(old_person, OwnershipChangeLog.old_owner_personnel_id == old_person.id)
.outerjoin(new_person, OwnershipChangeLog.new_owner_personnel_id == new_person.id)
.where(OwnershipChangeLog.owner_type == owner_type, ref_column == ref_id)
.where(OwnershipChangeLog.owner_type == ref.owner_type, ref.ref_column == ref.ref_id)
.order_by(OwnershipChangeLog.create_time.desc(), OwnershipChangeLog.id.desc())
.offset(offset)
.limit(limit)
@@ -40,11 +54,11 @@ def list_by_ref(
return list(session.execute(stmt).all())
def count_by_ref(session: Session, *, owner_type: int, ref_column, ref_id: int) -> int:
def count_by_ref(session: Session, ref: OwnershipLogRef) -> int:
"""统计某引用对象的归属留痕总数,供分页使用。"""
stmt = select(func.count(OwnershipChangeLog.id)).where(
OwnershipChangeLog.owner_type == owner_type,
ref_column == ref_id,
OwnershipChangeLog.owner_type == ref.owner_type,
ref.ref_column == ref.ref_id,
)
return int(session.execute(stmt).scalar_one())
+28 -38
View File
@@ -10,6 +10,7 @@ from sqlalchemy import Select, delete, func, select
from sqlalchemy.orm import Session
from app.models import ParamChangeBatch, ParamDefinition, ParamValue
from app.schemas.param import ParamBatchQuery, ParamHistoryQuery
# ==================== 读取 ====================
@@ -97,27 +98,27 @@ def list_definitions_by_codes(
def list_history(
session: Session,
param_id: int,
*,
offset: int,
limit: int,
dimension_value: str | None = None,
session: Session, param_id: int, query: ParamHistoryQuery
) -> list[tuple[ParamValue, ParamChangeBatch]]:
"""单参数的版本历史(含批次信息),最新在前。"""
stmt = _history_stmt(session, param_id, dimension_value=dimension_value)
return [(value, batch) for value, batch in session.execute(stmt.offset(offset).limit(limit))]
"""单参数的版本历史(含批次信息),最新在前。
``param_id`` 是「查哪个参数」的主锚点(由路径参数 param_code 解析而来),
不属于列表筛选项,故仍以位置参数传入;筛选与分页走 ``query``。
"""
stmt = _history_stmt(param_id, query)
return [
(value, batch)
for value, batch in session.execute(stmt.offset(query.offset).limit(query.page_size))
]
def count_history(session: Session, param_id: int, *, dimension_value: str | None = None) -> int:
def count_history(session: Session, param_id: int, query: ParamHistoryQuery) -> int:
"""统计单参数的历史条目数。"""
stmt = select(func.count()).select_from(
_history_stmt(session, param_id, dimension_value=dimension_value).subquery()
)
stmt = select(func.count()).select_from(_history_stmt(param_id, query).subquery())
return int(session.execute(stmt).scalar_one())
def _history_stmt(session: Session, param_id: int, *, dimension_value: str | None) -> Select:
def _history_stmt(param_id: int, query: ParamHistoryQuery) -> Select:
"""历史查询基语句:条目 join 批次(版本号/操作人),最新在前。"""
stmt = (
select(ParamValue, ParamChangeBatch)
@@ -125,8 +126,8 @@ def _history_stmt(session: Session, param_id: int, *, dimension_value: str | Non
.where(ParamValue.param_id == param_id)
.order_by(ParamValue.effective_date.desc(), ParamValue.id.desc())
)
if dimension_value is not None:
stmt = stmt.where(ParamValue.dimension_value == dimension_value)
if query.dimension_value is not None:
stmt = stmt.where(ParamValue.dimension_value == query.dimension_value)
return stmt
@@ -150,41 +151,30 @@ def get_batch_by_id(
return session.get(ParamChangeBatch, batch_id)
def list_batches(
session: Session,
*,
offset: int,
limit: int,
start_date: date | None = None,
end_date: date | None = None,
) -> list[ParamChangeBatch]:
def list_batches(session: Session, query: ParamBatchQuery) -> list[ParamChangeBatch]:
"""分页查询变更批次(按创建时间倒序)。"""
stmt = _batch_filters(select(ParamChangeBatch), start_date=start_date, end_date=end_date)
stmt = _batch_filters(select(ParamChangeBatch), query)
return list(
session.execute(
stmt.order_by(ParamChangeBatch.create_time.desc(), ParamChangeBatch.id.desc())
.offset(offset)
.limit(limit)
.offset(query.offset)
.limit(query.page_size)
).scalars()
)
def count_batches(
session: Session, *, start_date: date | None = None, end_date: date | None = None
) -> int:
def count_batches(session: Session, query: ParamBatchQuery) -> int:
"""统计符合条件的批次总数。"""
stmt = _batch_filters(
select(func.count(ParamChangeBatch.id)), start_date=start_date, end_date=end_date
)
stmt = _batch_filters(select(func.count(ParamChangeBatch.id)), query)
return int(session.execute(stmt).scalar_one())
def _batch_filters(stmt: Select, *, start_date: date | None, end_date: date | None) -> Select:
def _batch_filters(stmt: Select, query: ParamBatchQuery) -> Select:
"""批次筛选(生效日期区间,含边界)。列表与计数共用。"""
if start_date is not None:
stmt = stmt.where(ParamChangeBatch.effective_date >= start_date)
if end_date is not None:
stmt = stmt.where(ParamChangeBatch.effective_date <= end_date)
if query.start_date is not None:
stmt = stmt.where(ParamChangeBatch.effective_date >= query.start_date)
if query.end_date is not None:
stmt = stmt.where(ParamChangeBatch.effective_date <= query.end_date)
return stmt
@@ -9,6 +9,7 @@ from sqlalchemy.orm import Session, aliased
from app.models import BusinessRole, Customer, Personnel, PersonnelPlan, PersonnelRegion
from app.repositories.query_utils import fuzzy
from app.schemas.personnel import PersonnelQuery
# 自引用别名:manager_id 指向 personnel.id,同一张表自联取「直属经理姓名」
_manager = aliased(Personnel)
@@ -30,44 +31,23 @@ def get_with_names(session: Session, personnel_id: int) -> Row | None:
return session.execute(stmt).first()
def list_personnel(
session: Session,
*,
offset: int,
limit: int,
keyword: str | None = None,
status: int | None = None,
business_role_id: int | None = None,
) -> list[Row]:
def list_personnel(session: Session, query: PersonnelQuery) -> list[Row]:
"""分页查询人员,行内容为 (人员, 岗位名称, 直属经理姓名)。
排序按 id 倒序:人员无排序字段,新增的靠前符合列表页习惯。
"""
stmt = _apply_filters(
_base_select(), keyword=keyword, status=status, business_role_id=business_role_id
)
stmt = stmt.order_by(Personnel.id.desc()).offset(offset).limit(limit)
stmt = _apply_filters(_base_select(), query)
stmt = stmt.order_by(Personnel.id.desc()).offset(query.offset).limit(query.page_size)
return list(session.execute(stmt).all())
def count_personnel(
session: Session,
*,
keyword: str | None = None,
status: int | None = None,
business_role_id: int | None = None,
) -> int:
def count_personnel(session: Session, query: PersonnelQuery) -> int:
"""统计符合条件的人员总数,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(Personnel.id)),
keyword=keyword,
status=status,
business_role_id=business_role_id,
)
stmt = _apply_filters(select(func.count(Personnel.id)), query)
return int(session.execute(stmt).scalar_one())
@@ -154,20 +134,14 @@ def _base_select() -> Select:
)
def _apply_filters(
stmt: Select,
*,
keyword: str | None,
status: int | None,
business_role_id: int | None,
) -> Select:
def _apply_filters(stmt: Select, query: PersonnelQuery) -> 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 = fuzzy(stmt, Personnel.personnel_name, keyword)
if status is not None:
stmt = stmt.where(Personnel.status == status)
if business_role_id is not None:
stmt = stmt.where(Personnel.business_role_id == business_role_id)
if query.keyword:
stmt = fuzzy(stmt, Personnel.personnel_name, query.keyword)
if query.status is not None:
stmt = stmt.where(Personnel.status == query.status)
if query.business_role_id is not None:
stmt = stmt.where(Personnel.business_role_id == query.business_role_id)
return stmt
+14 -43
View File
@@ -7,6 +7,7 @@ from sqlalchemy import Select, func, or_, select
from sqlalchemy.orm import Session
from app.models import BusinessItem, Product, ShipmentItem
from app.schemas.product import ProductQuery
# ==================== 读取 ====================
@@ -34,50 +35,20 @@ def get_by_name_spec(session: Session, product_name: str, spec_model: str) -> Pr
return session.execute(stmt).scalar_one_or_none()
def list_products(
session: Session,
*,
offset: int,
limit: int,
keyword: str | None = None,
product_category: str | None = None,
status: int | None = None,
) -> list[Product]:
def list_products(session: Session, query: ProductQuery) -> list[Product]:
"""分页查询产品(含停用)。按 id 升序,与 M1 岗位列表的次序口径一致。"""
stmt = _apply_filters(
select(Product),
keyword=keyword,
product_category=product_category,
status=status,
)
stmt = stmt.order_by(Product.id).offset(offset).limit(limit)
stmt = _apply_filters(select(Product), query)
stmt = stmt.order_by(Product.id).offset(query.offset).limit(query.page_size)
return list(session.execute(stmt).scalars())
def count_products(
session: Session,
*,
keyword: str | None = None,
product_category: str | None = None,
status: int | None = None,
) -> int:
def count_products(session: Session, query: ProductQuery) -> int:
"""统计符合条件的产品总数,供分页使用。"""
stmt = _apply_filters(
select(func.count(Product.id)),
keyword=keyword,
product_category=product_category,
status=status,
)
stmt = _apply_filters(select(func.count(Product.id)), query)
return int(session.execute(stmt).scalar_one())
def _apply_filters(
stmt: Select,
*,
keyword: str | None,
product_category: str | None,
status: int | None,
) -> Select:
def _apply_filters(stmt: Select, query: ProductQuery) -> 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。
关键词对名称/规格两列取 OR 命中。转义与 query_utils.fuzzy 同一机制
@@ -86,17 +57,17 @@ def _apply_filters(
写 contains —— M1 business_role_repository 的双列关键词同款写法。
规格型号常含 ``_``(如 DN300_II),不转义会当单字符通配执行。
"""
if keyword:
if query.keyword:
stmt = stmt.where(
or_(
Product.product_name.contains(keyword, autoescape=True),
Product.spec_model.contains(keyword, autoescape=True),
Product.product_name.contains(query.keyword, autoescape=True),
Product.spec_model.contains(query.keyword, autoescape=True),
)
)
if product_category:
stmt = stmt.where(Product.product_category == product_category)
if status is not None:
stmt = stmt.where(Product.status == status)
if query.product_category:
stmt = stmt.where(Product.product_category == query.product_category)
if query.status is not None:
stmt = stmt.where(Product.status == query.status)
return stmt
+22 -51
View File
@@ -14,6 +14,7 @@ from sqlalchemy import Select, func, select
from sqlalchemy.orm import Session
from app.models import Business, Receipt, Shipment
from app.schemas.receipt import ReceiptQuery
def get_by_id(session: Session, receipt_id: int) -> Receipt | None:
@@ -43,72 +44,42 @@ def get_shipment(session: Session, shipment_id: int) -> Shipment | None:
return session.get(Shipment, shipment_id)
def _apply_filters(
stmt: Select,
*,
business_id: int | None,
date_from: date | None,
date_to: date | None,
is_barter: int | None,
settlement_status: int | None,
) -> Select:
def _apply_filters(stmt: Select, query: ReceiptQuery) -> Select:
"""回款列表的筛选条件(全部落在 Receipt 自身列上)。"""
if business_id is not None:
stmt = stmt.where(Receipt.business_id == business_id)
if date_from is not None:
stmt = stmt.where(Receipt.receipt_date >= date_from)
if date_to is not None:
stmt = stmt.where(Receipt.receipt_date <= date_to)
if is_barter is not None:
stmt = stmt.where(Receipt.is_barter == is_barter)
if settlement_status is not None:
stmt = stmt.where(Receipt.settlement_status == settlement_status)
if query.business_id is not None:
stmt = stmt.where(Receipt.business_id == query.business_id)
if query.date_from is not None:
stmt = stmt.where(Receipt.receipt_date >= query.date_from)
if query.date_to is not None:
stmt = stmt.where(Receipt.receipt_date <= query.date_to)
if query.is_barter is not None:
stmt = stmt.where(Receipt.is_barter == query.is_barter)
# settlement_status 是 M3 核算防重锚点(需规 2.3.3),必须保持具名字段
if query.settlement_status is not None:
stmt = stmt.where(Receipt.settlement_status == query.settlement_status)
return stmt
def list_receipts(
session: Session,
*,
offset: int,
limit: int,
business_id: int | None,
date_from: date | None,
date_to: date | None,
is_barter: int | None,
settlement_status: int | None,
session: Session, query: ReceiptQuery
) -> list[tuple[Receipt, str, str | None, date | None]]:
"""分页查询回款(附业务号/发货单号/发货日),按 id 倒序。"""
stmt = _apply_filters(
select(Receipt, Business.business_no, Shipment.shipment_no, Shipment.ship_date)
.join(Business, Business.id == Receipt.business_id)
.outerjoin(Shipment, Shipment.id == Receipt.shipment_id),
business_id=business_id,
date_from=date_from,
date_to=date_to,
is_barter=is_barter,
settlement_status=settlement_status,
query,
)
return list(
session.execute(
stmt.order_by(Receipt.id.desc()).offset(query.offset).limit(query.page_size)
).all()
)
return list(session.execute(stmt.order_by(Receipt.id.desc()).offset(offset).limit(limit)).all())
def count_receipts(
session: Session,
*,
business_id: int | None,
date_from: date | None,
date_to: date | None,
is_barter: int | None,
settlement_status: int | None,
) -> int:
def count_receipts(session: Session, query: ReceiptQuery) -> int:
"""回款总数(筛选条件与列表共用同一 apply_filters,防两侧口径漂移)。"""
stmt = _apply_filters(
select(func.count()).select_from(Receipt),
business_id=business_id,
date_from=date_from,
date_to=date_to,
is_barter=is_barter,
settlement_status=settlement_status,
)
stmt = _apply_filters(select(func.count()).select_from(Receipt), query)
return int(session.execute(stmt).scalar_one())
@@ -389,9 +389,7 @@ def _bucket_condition(bucket: DayBucket) -> tuple:
return tuple(conds)
def list_payment_detail(
session: Session, query: PaymentDetailQuery, bucket: DayBucket, *, offset: int, limit: int
) -> list:
def list_payment_detail(session: Session, query: PaymentDetailQuery, bucket: DayBucket) -> list:
"""区间下钻:单笔生效行联回款表(行级展示回款金额与批次号)。
bucket 由服务层解析(未注册编码 400),仓储只按区间拼条件。
@@ -408,7 +406,7 @@ def list_payment_detail(
.where(*_payment_filters(query), *_bucket_condition(bucket))
)
stmt = stmt.order_by(PerformanceLedger.receipt_date.desc(), PerformanceLedger.id.desc())
stmt = stmt.offset(offset).limit(limit)
stmt = stmt.offset(query.offset).limit(query.page_size)
return list(session.execute(stmt).all())
+12 -18
View File
@@ -10,6 +10,7 @@ from sqlalchemy import Select, func, or_, select
from sqlalchemy.orm import Session
from app.models import Role, UserRole
from app.schemas.role import RoleQuery
# ==================== 读取 ====================
@@ -47,44 +48,37 @@ def get_all_roles(session: Session) -> list[Role]:
return list(session.execute(stmt).scalars())
def list_roles(
session: Session,
*,
offset: int,
limit: int,
keyword: str | None = None,
status: int | None = None,
) -> list[Role]:
def list_roles(session: Session, query: RoleQuery) -> list[Role]:
"""分页查询角色(管理列表:含停用角色)。
排序与下拉口径一致(sort_order, id),保持同一套相对次序。
"""
stmt = _apply_filters(select(Role), keyword=keyword, status=status)
stmt = stmt.order_by(Role.sort_order, Role.id).offset(offset).limit(limit)
stmt = _apply_filters(select(Role), query)
stmt = stmt.order_by(Role.sort_order, Role.id).offset(query.offset).limit(query.page_size)
return list(session.execute(stmt).scalars())
def count_roles(session: Session, *, keyword: str | None = None, status: int | None = None) -> int:
def count_roles(session: Session, query: RoleQuery) -> int:
"""统计符合条件的角色总数,供分页使用。"""
stmt = _apply_filters(select(func.count(Role.id)), keyword=keyword, status=status)
stmt = _apply_filters(select(func.count(Role.id)), query)
return int(session.execute(stmt).scalar_one())
def _apply_filters(stmt: Select, *, keyword: str | None, status: int | None) -> Select:
def _apply_filters(stmt: Select, query: RoleQuery) -> 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。
关键词匹配走 `contains(autoescape=True)`(转义 LIKE 通配符)——
角色编码普遍含下划线,直接拼接会让 `_` 当单字符通配执行。
"""
if keyword:
if query.keyword:
stmt = stmt.where(
or_(
Role.role_code.contains(keyword, autoescape=True),
Role.role_name.contains(keyword, autoescape=True),
Role.role_code.contains(query.keyword, autoescape=True),
Role.role_name.contains(query.keyword, autoescape=True),
)
)
if status is not None:
stmt = stmt.where(Role.status == status)
if query.status is not None:
stmt = stmt.where(Role.status == query.status)
return stmt
+15 -37
View File
@@ -8,13 +8,13 @@
业务级汇总仍收口 business_service._recalc_totals
"""
from datetime import date
from decimal import Decimal
from sqlalchemy import Select, delete, func, select
from sqlalchemy.orm import Session
from app.models import Business, Receipt, Shipment, ShipmentItem
from app.schemas.shipment import ShipmentQuery
def get_by_id(session: Session, shipment_id: int) -> Shipment | None:
@@ -31,59 +31,37 @@ def get_with_business_no(session: Session, shipment_id: int) -> tuple[Shipment,
).first()
def _apply_filters(
stmt: Select,
*,
business_id: int | None,
ship_date_from: date | None,
ship_date_to: date | None,
) -> Select:
def _apply_filters(stmt: Select, query: ShipmentQuery) -> Select:
"""发货列表的筛选条件(business_id 空=全量,一期按业务维度查看为主)。"""
if business_id is not None:
stmt = stmt.where(Shipment.business_id == business_id)
if ship_date_from is not None:
stmt = stmt.where(Shipment.ship_date >= ship_date_from)
if ship_date_to is not None:
stmt = stmt.where(Shipment.ship_date <= ship_date_to)
if query.business_id is not None:
stmt = stmt.where(Shipment.business_id == query.business_id)
if query.ship_date_from is not None:
stmt = stmt.where(Shipment.ship_date >= query.ship_date_from)
if query.ship_date_to is not None:
stmt = stmt.where(Shipment.ship_date <= query.ship_date_to)
return stmt
def list_shipments(
session: Session,
*,
offset: int,
limit: int,
business_id: int | None,
ship_date_from: date | None,
ship_date_to: date | None,
) -> list[tuple[Shipment, str]]:
def list_shipments(session: Session, query: ShipmentQuery) -> list[tuple[Shipment, str]]:
"""分页查询发货单(附业务号),按 id 倒序。"""
stmt = _apply_filters(
select(Shipment, Business.business_no).join(Business, Business.id == Shipment.business_id),
business_id=business_id,
ship_date_from=ship_date_from,
ship_date_to=ship_date_to,
query,
)
return list(
session.execute(stmt.order_by(Shipment.id.desc()).offset(offset).limit(limit)).all()
session.execute(
stmt.order_by(Shipment.id.desc()).offset(query.offset).limit(query.page_size)
).all()
)
def count_shipments(
session: Session,
*,
business_id: int | None,
ship_date_from: date | None,
ship_date_to: date | None,
) -> int:
def count_shipments(session: Session, query: ShipmentQuery) -> int:
"""发货单总数(筛选条件与列表共用同一 apply_filters,防两侧口径漂移)。"""
stmt = _apply_filters(
select(func.count())
.select_from(Shipment)
.join(Business, Business.id == Shipment.business_id),
business_id=business_id,
ship_date_from=ship_date_from,
ship_date_to=ship_date_to,
query,
)
return int(session.execute(stmt).scalar_one())
+17 -38
View File
@@ -10,6 +10,7 @@ from sqlalchemy.orm import Session, selectinload
from app.models import Role, User, UserRole
from app.repositories.query_utils import fuzzy
from app.schemas.user import UserQuery
def _base_query() -> Select[tuple[User]]:
@@ -48,16 +49,7 @@ def touch_last_login(session: Session, user: User, moment: datetime) -> None:
# ==================== 列表查询 ====================
def list_users(
session: Session,
*,
offset: int,
limit: int,
username: str | None = None,
real_name: str | None = None,
status: int | None = None,
role_code: str | None = None,
) -> list[User]:
def list_users(session: Session, query: UserQuery) -> list[User]:
"""分页查询用户列表。
**按 id 倒序而非 create_time**:create_time 是秒级精度,批量导入的用户
@@ -65,48 +57,35 @@ def list_users(
id 是自增主键,天然唯一且与创建顺序一致。
"""
stmt = _base_query()
stmt = _apply_filters(stmt, username=username, real_name=real_name, status=status)
if role_code:
stmt = _apply_filters(stmt, query)
if query.role_code:
# 按角色筛选需 join 关联表;角色是字典数据,数量极少,join 代价可忽略
stmt = stmt.join(UserRole).join(Role).where(Role.role_code == role_code)
stmt = stmt.order_by(User.id.desc()).offset(offset).limit(limit)
stmt = stmt.join(UserRole).join(Role).where(Role.role_code == query.role_code)
stmt = stmt.order_by(User.id.desc()).offset(query.offset).limit(query.page_size)
return list(session.execute(stmt).scalars().unique())
def count_users(
session: Session,
*,
username: str | None = None,
real_name: str | None = None,
status: int | None = None,
role_code: str | None = None,
) -> int:
def count_users(session: Session, query: UserQuery) -> int:
"""统计符合条件的用户总数,供分页使用。"""
stmt = select(func.count(User.id))
stmt = _apply_filters(stmt, username=username, real_name=real_name, status=status)
if role_code:
stmt = stmt.join(UserRole).join(Role).where(Role.role_code == role_code)
stmt = _apply_filters(stmt, query)
if query.role_code:
stmt = stmt.join(UserRole).join(Role).where(Role.role_code == query.role_code)
return int(session.execute(stmt).scalar_one())
def _apply_filters(
stmt: Select,
*,
username: str | None,
real_name: str | None,
status: int | None,
) -> Select:
def _apply_filters(stmt: Select, query: UserQuery) -> 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。
模糊匹配统一走 `query_utils.fuzzy`(转义 LIKE 通配符)—— 用户名普遍
含下划线,直接拼接会让 `_` 当单字符通配执行、误配无关账号。
"""
if username:
stmt = fuzzy(stmt, User.username, username)
if real_name:
stmt = fuzzy(stmt, User.real_name, real_name)
if status is not None:
stmt = stmt.where(User.status == status)
if query.username:
stmt = fuzzy(stmt, User.username, query.username)
if query.real_name:
stmt = fuzzy(stmt, User.real_name, query.real_name)
if query.status is not None:
stmt = stmt.where(User.status == query.status)
return stmt