fix: 修复 JWT 幽灵令牌漏洞，新增 Dify 权限过滤服务
This commit is contained in:
@ -1,6 +1,6 @@
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# app/services/auth_service.py
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from app.models.system import SysUser, SysRolePermission # <== 引入 SysRolePermission
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from app.extensions import db, redis_client
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from app.extensions import db, redis_client, revoke_all_tokens_for_user
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from sqlalchemy import func
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from flask_jwt_extended import create_access_token, create_refresh_token, get_jwt_identity
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from flask import current_app
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@ -334,7 +334,11 @@ class AuthService:
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user.email = email
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if 'status' in data:
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user.status = data['status']
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new_status = data['status']
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# ★ 幽灵令牌漏洞修复：用户被禁用时，立即吊销其所有 Token
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if new_status != 'active' and user.status == 'active':
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revoke_all_tokens_for_user(user_id)
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user.status = new_status
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new_password = data.get('password')
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if new_password and str(new_password).strip():
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@ -353,7 +357,7 @@ class AuthService:
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@staticmethod
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def delete_user(user_id, operator_role):
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"""删除用户"""
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"""删除用户：删除前自动吊销该用户所有 JWT Token"""
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# 标准化操作者角色为全大写
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operator_role_upper = operator_role.upper() if operator_role else None
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if operator_role_upper != UserRole.SUPER_ADMIN:
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@ -365,6 +369,18 @@ class AuthService:
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# 提前获取用户名用于审计日志
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username = user.username
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# ★ 幽灵令牌漏洞修复：删除用户前，先将 user_id 加入 JWT 黑名单
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# 效果：该用户持有的所有 Token 瞬间失效，无论是否已过期
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revoke_all_tokens_for_user(user_id)
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# 清除 Redis 中的单设备登录 Token（防止残留）
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if redis_client is not None:
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try:
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redis_client.delete(f"user_token_{user_id}")
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except Exception as e:
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current_app.logger.warning(f"Failed to delete user token from Redis: {e}")
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db.session.delete(user)
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db.session.commit()
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return username
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284
inventory-backend/app/services/dify_permission_service.py
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284
inventory-backend/app/services/dify_permission_service.py
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@ -0,0 +1,284 @@
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# app/services/dify_permission_service.py
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"""
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Dify 智能客服权限服务层
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职责：
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1. 从 JWT Token / g.dify_user_role 解析用户角色
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2. 根据角色查询 sys_role_permission 表，获取用户拥有的 target_code
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3. AI 专属的动态脱敏策略：
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- SUPER_ADMIN：无条件放行所有数据
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- SALES / INBOUND：剔除 price, cost, supplier 等敏感字段
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- 跨模块越权查询：直接阻断，返回角色专属的错误信息给大模型
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"""
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from flask import g, current_app
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from flask_jwt_extended import decode_token
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from app.models.system import SysRolePermission
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from app.services.auth_service import AuthService
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from app.utils.constants import UserRole
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from sqlalchemy import func
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# ==============================================================================
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# 角色敏感字段定义（按角色黑名单）
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# ==============================================================================
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# 每个角色在 AI 对话场景下，禁止查看的字段集合
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ROLE_SENSITIVE_FIELDS = {
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# 入库员：禁止查看采购相关金额
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'INBOUND': frozenset([
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'purchase_price',
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'cost',
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'price',
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'supplier',
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'supplier_id',
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'unit_price',
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'total_price',
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'order_price',
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'last_purchase_price',
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'avg_purchase_price',
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'supplier_name',
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]),
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# 销售员：禁止查看成本/采购相关数据
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'SALES': frozenset([
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'purchase_price',
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'cost',
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'unit_cost',
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'supplier',
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'supplier_id',
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'unit_price',
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'last_purchase_price',
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'avg_purchase_price',
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'supplier_name',
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'stock_cost',
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'total_cost',
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'supply_price',
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]),
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# 采购员：禁止查看销售毛利相关数据
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'PURCHASER': frozenset([
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'sale_price',
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'retail_price',
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'suggested_price',
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'margin',
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'profit',
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'profit_rate',
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]),
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}
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# 跨模块越权查询拦截配置
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# key: 角色, value: { 尝试查询的字段: 给 AI 的回复 }
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ROLE_FORBIDDEN_QUERIES = {
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'INBOUND': {
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'purchase_price': '抱歉，您当前的角色（入库员）无权查看采购金额数据。',
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'cost': '抱歉，您当前的角色（入库员）无权查看采购成本数据。',
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'supplier': '抱歉，您当前的角色（入库员）无权查看供应商数据。',
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'unit_price': '抱歉，您当前的角色（入库员）无权查看采购单价数据。',
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'last_purchase_price': '抱歉，您当前的角色（入库员）无权查看历史采购价数据。',
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},
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'SALES': {
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'purchase_price': '抱歉，您当前的角色（销售员）无权查看采购成本数据。',
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'cost': '抱歉，您当前的角色（销售员）无权查看成本数据。',
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'supplier': '抱歉，您当前的角色（销售员）无权查看供应商信息。',
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'unit_cost': '抱歉，您当前的角色（销售员）无权查看单位成本数据。',
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'last_purchase_price': '抱歉，您当前的角色（销售员）无权查看历史采购价数据。',
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},
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'PURCHASER': {
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'sale_price': '抱歉，您当前的角色（采购员）无权查看销售价格数据。',
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'retail_price': '抱歉，您当前的角色（采购员）无权查看零售价数据。',
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'margin': '抱歉，您当前的角色（采购员）无权查看毛利数据。',
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'profit': '抱歉，您当前的角色（采购员）无权查看利润数据。',
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},
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}
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class DifyPermissionService:
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"""Dify AI 专属权限服务"""
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@staticmethod
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def get_user_role(token: str = None) -> str:
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"""
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从 JWT Token 或 g.dify_user_role 解析用户角色
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返回标准化的大写角色码（如 'INBOUND', 'SALES', 'SUPER_ADMIN'）
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"""
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user_role = None
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# 优先从 g 对象获取（由 dify_auth_required 存入）
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if hasattr(g, 'dify_user_role') and g.dify_user_role:
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return g.dify_user_role
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# 从传入的 token 解码
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if token:
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try:
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claims = decode_token(token)
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user_role = claims.get('role')
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except Exception as e:
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current_app.logger.warning(f"[DifyPermission] token 解码失败: {e}")
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return ''
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return (user_role or '').upper()
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@staticmethod
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def is_super_admin(role: str = None) -> bool:
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"""判断是否为超级管理员"""
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if not role:
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role = DifyPermissionService.get_user_role()
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return role.upper() == UserRole.SUPER_ADMIN if role else False
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@staticmethod
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def get_role_permissions(role: str = None) -> dict:
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"""
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获取指定角色的所有权限代码列表
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内部调用 AuthService.get_user_permissions()
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"""
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if not role:
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role = DifyPermissionService.get_user_role()
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return AuthService.get_user_permissions(role)
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@staticmethod
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def get_target_codes(role: str = None) -> list:
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"""
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获取用户角色在 sys_role_permission 表中的所有 target_code
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包括 menu 和 element 两种类型
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"""
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if not role:
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role = DifyPermissionService.get_user_role()
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if not role:
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return []
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# 超级管理员拥有所有权限
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if DifyPermissionService.is_super_admin(role):
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return ['*']
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# 从数据库查询
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try:
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perms = SysRolePermission.query.filter(
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func.upper(SysRolePermission.role_code) == role.upper()
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).all()
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return [p.target_code for p in perms]
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except Exception as e:
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current_app.logger.error(f"[DifyPermission] 查询 target_code 失败: {e}")
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return []
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@staticmethod
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def has_permission(permission_code: str, role: str = None) -> bool:
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"""
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检查用户是否拥有指定权限码
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超级管理员永远返回 True
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"""
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if DifyPermissionService.is_super_admin(role):
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return True
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if not role:
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role = DifyPermissionService.get_user_role()
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perms = DifyPermissionService.get_role_permissions(role)
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all_perms = perms.get('menus', []) + perms.get('elements', [])
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return permission_code in all_perms
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@staticmethod
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def check_forbidden_query(query_fields: list, role: str = None) -> dict:
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"""
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检查用户尝试查询的字段是否越权。
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参数:
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query_fields: 用户查询涉及的字段名列表（可能包含敏感字段）
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role: 用户角色（可选，默认从 token/g 解析）
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返回:
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{
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'blocked': bool, # 是否被拦截
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'message': str | None, # AI 应返回给用户的错误信息（如果有）
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}
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"""
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if DifyPermissionService.is_super_admin(role):
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return {'blocked': False, 'message': None}
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if not role:
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role = DifyPermissionService.get_user_role()
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if not role:
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return {
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'blocked': True,
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'message': '无法识别您的身份，请重新登录后再试。'
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}
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# 获取该角色的越权拦截配置
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forbidden_map = ROLE_FORBIDDEN_QUERIES.get(role.upper(), {})
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if not forbidden_map:
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return {'blocked': False, 'message': None}
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# 规范化字段名（小写比较）
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query_fields_lower = {f.lower() for f in query_fields}
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# 检查是否命中越权字段
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for forbidden_field, msg in forbidden_map.items():
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if forbidden_field.lower() in query_fields_lower:
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current_app.logger.warning(
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f"[DifyPermission] 越权查询拦截: role={role}, field={forbidden_field}"
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)
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return {'blocked': True, 'message': msg}
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return {'blocked': False, 'message': None}
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@staticmethod
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def filter_sensitive_fields(data: dict, role: str = None) -> dict:
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"""
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根据用户角色对字典数据进行敏感字段脱敏。
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- SUPER_ADMIN：不过滤，返回原数据
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- SALES / INBOUND / PURCHASER：按角色黑名单剔除敏感字段
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参数:
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data: 原始数据字典
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role: 用户角色
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返回:
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脱敏后的数据字典（敏感字段被置为 None）
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"""
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if DifyPermissionService.is_super_admin(role):
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return data
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if not role:
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role = DifyPermissionService.get_user_role()
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if not role:
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return data
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# 获取该角色的敏感字段黑名单
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sensitive = ROLE_SENSITIVE_FIELDS.get(role.upper(), frozenset())
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# 如果没有敏感字段定义，不过滤
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if not sensitive:
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return data
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# 深拷贝，避免修改原数据
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import copy
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result = copy.deepcopy(data)
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# 将敏感字段置为 None
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for field in sensitive:
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if field in result:
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result[field] = None
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# 如果有 children 数组（子件列表），递归脱敏
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if isinstance(result.get('children'), list):
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result['children'] = [
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DifyPermissionService.filter_sensitive_fields(child, role)
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for child in result['children']
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]
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return result
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@staticmethod
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def filter_sensitive_fields_in_list(data_list: list, role: str = None) -> list:
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"""
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对列表数据批量应用敏感字段脱敏
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"""
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if DifyPermissionService.is_super_admin(role):
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return data_list
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if not role:
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role = DifyPermissionService.get_user_role()
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return [
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DifyPermissionService.filter_sensitive_fields(item, role)
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for item in data_list
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]
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Reference in New Issue
Block a user