pyautoschema 0.2.0

Automatically generate Pydantic models from dictionaries

PyAutoSchema

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

🔧 Features

• Supports nested dictionaries and complex data structures
• Infers list, union, and other advanced types
• Generates clean, human-readable Pydantic classes
• Supports JSON and XML input formats
• Simple one-line usage

📦 Installation

Install PyAutoSchema using pip:

pip install pyautoschema

🚀 Usage

Python Dictionary Example

from pyautoschema import schemaCreator

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

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

Generated 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

JSON File Example

pyautoschema --input sample.json --output schemas.py

XML File Example

pyautoschema --input sample.xml --output schemas.py

🛠 CLI Usage

PyAutoSchema also provides a command-line interface for generating schemas directly from JSON or XML files.

pyautoschema --input <path_to_file> --output <output_file>

• --input (-i): Path to the input .json or .xml file (required)
• --output (-o): Path to the output .py file (default: schemas.py)

🧪 Supported Types

PyAutoSchema automatically detects and maps the following types:

• Primitive Types: int, float, bool, str
• Advanced Types: datetime, date, time, UUID, EmailStr, HttpUrl
• Collections: List, Union, Any

🌐 Links

• Homepage
• Repository

📄 License

This project is licensed under the terms of the MIT License. See the LICENSE file for details.