pyautoschema 0.1.0

Automatically generate Pydantic models from dictionaries

PyAutoSchema

PyAutoSchema is a lightweight Python library that automatically generates Pydantic models from Python dictionaries. It's especially useful for fast prototyping, validating API responses, or converting JSON-like structures into Pydantic schemas.

🔧 Features

• Supports nested dictionaries
• Infers list and union types
• Generates clean, human-readable Pydantic classes
• Simple one-line usage

📦 Installation

pip install pyautoschema

🚀 Usage

from pyautoschema import infer_schema

sample = {
    "id": 123,
    "name": "Alice",
    "tags": ["admin", "user"],
    "profile": {
        "age": 30,
        "active": True
    }
}

infer_schema(sample, output="schemas.py")

Output (schemas.py):

from typing import List
from pydantic import BaseModel

class Profile(BaseModel):
    age: int
    active: bool

class InferredModel(BaseModel):
    id: int
    name: str
    tags: List[str]
    profile: Profile