pydantic-models-py · 把 API 输入输出拆成清晰的数据模型

先看看示例

作者提供的示例，实际效果取决于你的输入和使用工具。

输入

输出

from pydantic import BaseModel, ConfigDict

class ProjectUpdate(BaseModel):
    model_config = ConfigDict(extra="forbid")
    description: str | None = None

payload = ProjectUpdate.model_validate({"description": None})
changes = payload.model_dump(exclude_unset=True)
# changes 为 {"description": None}，表示明确清空。
# 空输入 {} 经同样处理得到 {}，表示不修改任何字段。

方法说明

---
name: pydantic-models-py
description: 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.
license: MIT
metadata:
  author: Microsoft
  version: "1.0.0"
---

# Pydantic Models

Create Pydantic models following the multi-model pattern for clean API contracts.

## Quick Start

Copy the template from [assets/template.py](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

```python
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

```python
class MyUpdate(BaseModel):
    model_config = ConfigDict(populate_by_name=True)

    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None
```

## Database Document

```python
class MyInDB(MyResponse):
    doc_type: str = "my_resource"
```

## Integration Steps

1. Create models in `src/backend/app/models/`
2. Export from `src/backend/app/models/__init__.py`
3. Add corresponding TypeScript types

## Reference Files

| File | Contents |
|------|----------|
| [references/capabilities.md](references/capabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |