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zhangtao
a222cd9e43
此次提交进行了大规模的架构重构： 1. 移除所有平台租户相关模块和代码，包括租户管理、套餐、订单、发票等功能 2. 将菜单模块从platform迁移到system模块，统一系统功能入口 3. 移除租户隔离相关的模型混入、中间件和配置 4. 简化文件上传、SSE事件总线、定时任务等模块的租户逻辑 5. 重构所有业务schema和模型，移除租户相关字段和关联 6. 清理初始化脚本、模板和常量中的租户相关代码 7. 简化认证和权限控制逻辑，移除数据范围检查相关代码
154 lines
5.6 KiB
Python
154 lines
5.6 KiB
Python
import re
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from pydantic import (
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BaseModel,
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ConfigDict,
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Field,
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field_validator,
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model_validator,
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)
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from app.core.base_schema import BaseQueryParam, BaseSchema, UserByQueryParam, UserBySchema
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class DictTypeCreateSchema(BaseModel):
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"""字典类型表对应pydantic模型
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"""
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dict_name: str = Field(..., min_length=1, max_length=64, description="字典名称")
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dict_type: str = Field(..., min_length=1, max_length=255, description="字典类型编码")
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status: int = Field(default=0, ge=0, le=1, description="状态(0:正常 1:停用)")
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description: str | None = Field(default=None, max_length=255, description="描述")
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@field_validator("status")
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@classmethod
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def validate_status(cls, value: int):
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if value not in {0, 1}:
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raise ValueError("状态仅支持 0(正常) 或 1(停用)")
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return value
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@field_validator("dict_name")
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@classmethod
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def validate_dict_name(cls, value: str):
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"""校验字典名称为非空字符串。
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参数:
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- value (str): 字典名称。
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返回:
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- str: 去首尾空格后的字典名称。
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异常:
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- ValueError: 字典名称为空时抛出。
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"""
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if not value or value.strip() == "":
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raise ValueError("字典名称不能为空")
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return value.strip()
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@field_validator("dict_type")
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@classmethod
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def validate_dict_type(cls, value: str):
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"""校验字典类型：小写字母开头，仅包含小写字母/数字/下划线。
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参数:
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- value (str): 字典类型。
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返回:
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- str: 去首尾空格后的字典类型。
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异常:
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- ValueError: 字典类型为空或不满足格式要求时抛出。
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"""
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if not value or value.strip() == "":
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raise ValueError("字典类型不能为空")
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regexp = r"^[a-z][a-z0-9_]*$"
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if not re.match(regexp, value):
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raise ValueError("字典类型必须以字母开头，且只能为（小写字母，数字，下滑线）")
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return value.strip()
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class DictTypeUpdateSchema(DictTypeCreateSchema):
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"""字典类型更新模型"""
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class DictTypeOutSchema(DictTypeCreateSchema, BaseSchema, UserBySchema):
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"""字典类型响应模型"""
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model_config = ConfigDict(from_attributes=True)
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class DictTypeQueryParam(BaseQueryParam, UserByQueryParam):
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"""字典类型查询参数"""
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dict_name: str | None = Field(default=None, description="字典名称", max_length=100)
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dict_type: str | None = Field(default=None, description="字典类型", max_length=100, json_schema_extra={"q": "eq"})
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status: int | None = Field(default=None, ge=0, le=1, description="状态(0:启动 1:停用)")
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class DictDataCreateSchema(BaseModel):
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"""字典数据表对应pydantic模型
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"""
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dict_sort: int = Field(..., ge=1, le=999, description="排序")
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dict_label: str = Field(..., min_length=1, max_length=255, description="字典标签")
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dict_value: str = Field(..., min_length=1, max_length=255, description="字典键值")
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dict_type: str = Field(..., max_length=255, description="字典类型")
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dict_type_id: int = Field(..., gt=0, description="字典类型ID")
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css_class: str | None = Field(default=None, max_length=255, description="样式属性")
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list_class: str | None = Field(default=None, max_length=255, description="表格回显样式")
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is_default: bool = Field(default=False, description="是否默认")
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status: int = Field(default=0, ge=0, le=1, description="状态(0:正常 1:停用)")
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description: str | None = Field(default=None, max_length=255, description="描述")
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@field_validator("status")
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@classmethod
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def validate_status(cls, value: int) -> int:
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if value not in (0, 1):
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raise ValueError("状态仅支持 0(正常) 或 1(停用)")
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return value
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@model_validator(mode="after")
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def validate_after(self):
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"""校验并规范化字典数据字段（标签/键值/类型/类型ID）。
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返回:
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- DictDataCreateSchema: 校验与去空格后的同一实例。
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异常:
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- ValueError: 必填字段为空或类型ID非法时抛出。
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"""
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if not self.dict_label or not self.dict_label.strip():
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raise ValueError("字典标签不能为空")
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if not self.dict_value or not self.dict_value.strip():
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raise ValueError("字典键值不能为空")
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if not self.dict_type or not self.dict_type.strip():
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raise ValueError("字典类型不能为空")
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if not hasattr(self, "dict_type_id") or self.dict_type_id <= 0:
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raise ValueError("字典类型ID不能为空且必须大于0")
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# 确保字符串字段被正确处理
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self.dict_label = self.dict_label.strip()
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self.dict_value = self.dict_value.strip()
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self.dict_type = self.dict_type.strip()
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return self
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class DictDataUpdateSchema(DictDataCreateSchema):
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"""字典数据更新模型"""
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class DictDataOutSchema(DictDataCreateSchema, BaseSchema, UserBySchema):
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"""字典数据响应模型"""
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model_config = ConfigDict(from_attributes=True)
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class DictDataQueryParam(BaseQueryParam, UserByQueryParam):
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"""字典数据查询参数"""
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dict_label: str | None = Field(default=None, description="字典标签", max_length=100)
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dict_type: str | None = Field(default=None, description="字典类型", max_length=100, json_schema_extra={"q": "eq"})
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dict_type_id: int | None = Field(default=None, description="字典类型ID")
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status: int | None = Field(default=None, ge=0, le=1, description="状态(0:启动 1:停用)")
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