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董宏凯andClaude Opus 4.8 1c8b5b23a1 feat: 菜单管理(侧边栏覆盖层)
管理员可对一/二/三级菜单(含注入的 iframe 轻应用节点)改名、停用/启用、
排序、跨层级移动。静态菜单仍是图标/路由来源,后端只存每节点覆盖项。

后端: /api/menu-overrides(全局共享;开放读、admin 原子替换;≤3 级校验),
新增 persistence/menu_overrides 持久化层(create_all 自动建表)。
前端: 合并逻辑 menu-overrides.ts、MenuManagementPage(@dnd-kit 拖拽+移动到
父级选择器+上下箭头+改名/停用)、左下角设置入口、Header/侧边栏自动生效。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-16 23:34:12 +08:00

43 lines
1.7 KiB
Python

"""ORM model for sidebar-menu overrides (菜单管理).
Global / shared — there is no ``user_id`` scoping; every account sees the same
menu layout. The static menu tree (icons / routes / adminOnly) lives in the
frontend code; this table only stores per-node **overrides** keyed by the static
node id (or an injected iframe light-app node id ``light-app-<appId>``):
- ``parent_id`` — the effective parent node id (NULL = top level). Re-parenting
a node moves its whole subtree.
- ``sort_order`` — position among siblings under the effective parent.
- ``label`` — rename; NULL keeps the code-defined label.
- ``disabled`` — hide the node (and its subtree) from the sidebar.
A node with no row here renders exactly as the code defines it. ``updated_by``
is audit-only.
"""
from __future__ import annotations
from datetime import UTC, datetime
from sqlalchemy import Boolean, Integer, String
from sqlalchemy.orm import Mapped, mapped_column
from deerflow.persistence.base import Base
from deerflow.persistence.types import BeijingDateTime
class MenuOverrideRow(Base):
__tablename__ = "menu_overrides"
node_id: Mapped[str] = mapped_column(String(128), primary_key=True)
# Effective parent node id; NULL = top-level menu.
parent_id: Mapped[str | None] = mapped_column(String(128), index=True)
sort_order: Mapped[int] = mapped_column(Integer, default=0)
# Rename override; NULL keeps the code-defined label.
label: Mapped[str | None] = mapped_column(String(255))
disabled: Mapped[bool] = mapped_column(Boolean, default=False)
updated_by: Mapped[str | None] = mapped_column(String(64))
updated_at: Mapped[datetime] = mapped_column(
BeijingDateTime(), default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC)
)