pydantic-models-py
'Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
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تعليمات المصدر · معاينة للقراءة فقط- name
- pydantic-models-py
- description
- 'Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
# 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
class MyModel(BaseModel):
workspace_id: str = Field(..., alias="workspaceId")
created_at: datetime = Field(..., alias="createdAt")
class Config:
populate_by_name = True # Accept both snake_case and camelCase
```
## Optional Update Fields
```python
class MyUpdate(BaseModel):
"""All fields optional for PATCH requests."""
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = None
```
## Database Document
```python
class MyInDB(MyResponse):
"""Adds doc_type for Cosmos DB queries."""
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
## Diff History
- **v00.33.0**: Ingested from skills-main
---
## Why This Skill Exists
'Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants.
<!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. -->
## When to Use
Use this skill when the task requires pydantic models py capabilities.
<!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). -->
## What If Fails
- condition: Código não disponível para análise
<!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->
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