Files
wecom_it_smart_desk/backend/app/schemas/troubleshooting_template.py
T

129 lines
4.7 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# =============================================================================
# 企微IT智能服务台 — 排障模板 Pydantic Schema
# =============================================================================
# 说明:定义排障模板的 CRUD 数据结构
# 包含:创建、更新、响应 Schema
# =============================================================================
from datetime import datetime
from typing import Any, Dict, List, Optional
from pydantic import BaseModel, Field, field_validator
# --------------------------------------------------------------------------
# 排障模板分类合法值
# --------------------------------------------------------------------------
VALID_TEMPLATE_CATEGORIES = {"vpn", "email", "system", "account"}
# --------------------------------------------------------------------------
# 创建排障模板 Schema
# --------------------------------------------------------------------------
class TroubleshootingTemplateCreate(BaseModel):
"""创建排障模板请求 Schema。
Attributes:
name: 模板名称
category: 分类(vpn/email/system/account
path_steps: 排障步骤路径
flowchart: 流程图定义
is_active: 是否启用
"""
name: str = Field(..., min_length=1, max_length=256, description="模板名称")
category: str = Field(default="system", description="分类: vpn/email/system/account")
path_steps: List[Dict[str, Any]] = Field(
default_factory=list, description="排障步骤路径"
)
flowchart: Dict[str, Any] = Field(
default_factory=dict, description="流程图定义"
)
is_active: bool = Field(default=True, description="是否启用")
@field_validator("category")
@classmethod
def validate_category(cls, v: str) -> str:
"""校验分类是否合法。"""
if v not in VALID_TEMPLATE_CATEGORIES:
raise ValueError(f"无效的分类: {v},合法值为: {VALID_TEMPLATE_CATEGORIES}")
return v
# --------------------------------------------------------------------------
# 更新排障模板 Schema
# --------------------------------------------------------------------------
class TroubleshootingTemplateUpdate(BaseModel):
"""更新排障模板请求 Schema。
所有字段可选,只更新传入的字段。
Attributes:
name: 模板名称
category: 分类
path_steps: 排障步骤路径
flowchart: 流程图定义
is_active: 是否启用
"""
name: Optional[str] = Field(None, max_length=256, description="模板名称")
category: Optional[str] = Field(None, description="分类: vpn/email/system/account")
path_steps: Optional[List[Dict[str, Any]]] = Field(None, description="排障步骤路径")
flowchart: Optional[Dict[str, Any]] = Field(None, description="流程图定义")
is_active: Optional[bool] = Field(None, description="是否启用")
@field_validator("category")
@classmethod
def validate_category(cls, v: Optional[str]) -> Optional[str]:
"""校验分类是否合法。"""
if v is not None and v not in VALID_TEMPLATE_CATEGORIES:
raise ValueError(f"无效的分类: {v},合法值为: {VALID_TEMPLATE_CATEGORIES}")
return v
# --------------------------------------------------------------------------
# 排障模板响应 Schema
# --------------------------------------------------------------------------
class TroubleshootingTemplateResponse(BaseModel):
"""排障模板响应 Schema。
返回给前端的排障模板数据结构。
使用 from_attributes=True 支持从 SQLAlchemy 模型直接转换。
Attributes:
id: 模板唯一标识
name: 模板名称
category: 分类
path_steps: 排障步骤路径
flowchart: 流程图定义
is_active: 是否启用
created_at: 创建时间
updated_at: 更新时间
"""
id: str
name: str
category: str
path_steps: List[Dict[str, Any]] = Field(default_factory=list, description="排障步骤路径")
flowchart: Dict[str, Any] = Field(default_factory=dict, description="流程图定义")
is_active: bool
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
# --------------------------------------------------------------------------
# 排障模板列表响应 Schema
# --------------------------------------------------------------------------
class TroubleshootingTemplateListResponse(BaseModel):
"""排障模板列表响应 Schema。
Attributes:
items: 排障模板列表
total: 总数
"""
items: List[TroubleshootingTemplateResponse]
total: int