JSON to Pydantic/Types

This skill converts raw JSON data into strictly typed code.

Usage

When the user provides a JSON object or points to a JSON file and asks for "types" or "models":

1. •Analyze JSON: Read the JSON structure. Identify types (string, int, boolean, array, object).
2. •Determine Target: Ask or infer if the output should be Python (Pydantic) or TypeScript (Interface).
3. •Generate Code:

Python (Pydantic)

• •Use pydantic.BaseModel.
• •Use typing.List, typing.Optional, etc.
• •Generate nested classes for nested objects.
• •Example:
  python

  from pydantic import BaseModel
  from typing import List, Optional
  
  class Address(BaseModel):
      street: str
      city: str
  
  class User(BaseModel):
      id: int
      name: str
      tags: List[str]
      address: Optional[Address] = None
  

TypeScript

• •Use interface.
• •Example:
  typescript

  interface Address {
    street: string;
    city: string;
  }
  
  interface User {
    id: number;
    name: string;
    tags: string[];
    address?: Address;
  }