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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 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

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 | Additional non-hero capabilities, operation-group coverage, and production checklists. |