mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
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zhangtao
fcab562cd9
feat(tenant): 添加租户管理模块的模型、CRUD和服务层 feat(frontend): 实现工作流设计器和节点配置面板 feat(api): 添加工作流API接口定义和类型声明 refactor: 优化代码结构和注释格式 build: 添加@vue-flow相关依赖包
74 lines
2.7 KiB
Python
74 lines
2.7 KiB
Python
# # -*- coding: utf-8 -*-
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# from typing import Optional
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# from fastapi import Query
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# from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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# from app.core.validator import DateTimeStr
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# from app.core.base_schema import BaseSchema
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# from app.core.validator import DateTimeStr
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# class TenantCreateSchema(BaseModel):
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# """新增模型"""
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# name: str = Field(..., max_length=64, description='租户名称')
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# code: Optional[str] = Field(default=None, max_length=20, description='租户编码')
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# status: str = Field(default="0", description="是否启用(True:启用 False:禁用)")
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# description: Optional[str] = Field(default=None, max_length=255, description="描述")
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# start_time: Optional[DateTimeStr] = Field(default=None, description="开始时间")
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# end_time: Optional[DateTimeStr] = Field(default=None, description="结束时间")
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# @field_validator('name')
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# @classmethod
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# def _validate_name(cls, v: str) -> str:
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# v = v.strip()
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# if not v:
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# raise ValueError('名称不能为空')
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# return v
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# @model_validator(mode='after')
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# def _after_validation(self):
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# """
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# 核心业务规则校验
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# """
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# # 长度校验：名称最小长度
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# if len(self.name) < 2 or len(self.name) > 64:
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# raise ValueError('名称长度必须在2-50个字符之间')
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# # 格式校验：名称只能包含字母、数字、下划线和中划线
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# if not self.name.isalnum() and not all(c in '-_' for c in self.name):
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# raise ValueError('名称只能包含字母、数字、下划线和中划线')
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# return self
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# class TenantUpdateSchema(TenantCreateSchema):
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# """更新模型"""
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# name: Optional[str] = Field(None, max_length=64, description='租户名称')
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# class TenantOutSchema(TenantCreateSchema, BaseSchema):
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# """响应模型"""
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# model_config = ConfigDict(from_attributes=True)
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# class TenantQueryParam:
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# """租户查询参数"""
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# def __init__(
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# self,
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# name: Optional[str] = Query(None, description="租户名称"),
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# status: Optional[str] = Query(None, description="状态用(True:启用 False:禁用)"),
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# created_time: Optional[list[DateTimeStr]] = Query(None, description="创建时间范围", example=["2025-01-01 00:00:00", "2025-12-31 23:59:59"]),
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# ) -> None:
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# # 模糊查询字段
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# self.name = ("like", name)
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# # 精确查询字段
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# self.status = status
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# # 时间范围查询
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# if created_time and len(created_time) == 2:
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# self.created_time = ("between", (created_time[0], created_time[1]))
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