Skills Data Science Pydantic Models

Pydantic Models

v20260227
pydantic-models-py
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 ...
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Overview

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

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

class MyUpdate(BaseModel):
    """All fields optional for PATCH requests."""
    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

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

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Info
Category Data Science
Name pydantic-models-py
Version v20260227
Size 1.78KB
Updated At 2026-02-28
Language