技能低风险未认领
Pydantic Models
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
microsoftmicrosoft/pydantic-models-py
说明
Create Pydantic models following the multi-model pattern for clean API contracts.
Quick Start
Copy the template from assets/template.py and replace placeholders:
{{ResourceName}}→ PascalCase name (e.g.,Project){{resource_name}}→ snake_case name (e.g.,project)
Multi-Model Pattern
| Model | Purpose |
|---|---|
Base |
Common fields shared across models |
Create |
Request body for creation (required fields) |
Update |
Request body for updates (all optional) |
Response |
API response with all fields |
InDB |
Database document with doc_type |
camelCase Aliases
from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field
class MyModel(BaseModel):
model_config = ConfigDict(populate_by_name=True)
workspace_id: str = Field(..., alias="workspaceId")
created_at: datetime = Field(..., alias="createdAt")
Optional Update Fields
class MyUpdate(BaseModel):
model_config = ConfigDict(populate_by_name=True)
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = None
Database Document
class MyInDB(MyResponse):
doc_type: str = "my_resource"
Integration Steps
- Create models in
src/backend/app/models/ - Export from
src/backend/app/models/__init__.py - Add corresponding TypeScript types
Reference Files
| File | Contents |
|---|---|
| references/capabilities.md | Additional non-hero capabilities, operation-group coverage, and production checklists. |
权限
声明检测
运行代码—
python安装—无
安装时运行脚本—无
网络—无
需要的凭据—无
工作区外的路径—无
智能体工具—无
检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
文件3 个文件 · 4.5 KB
- SKILL.md1.9 KB
assets/1
- template.py1.5 KB
references/1
- capabilities.md1.1 KB
版本
- #11.0.0最新2026年10月7日
Pydantic Models在 Codeg 中打开