jsonpyd

Generate related pydantic class with any json type.

JsonPyd

JsonPyd is a tool that automatically generates Pydantic models from JSON schemas.

Installation

You can easily install it via pip:

pip install jsonpyd

Usage

Terminal Usage

JsonPyd can be used as a command-line tool:

jsonpyd /path/to/schema.json --force-optional True

This command will generate a .py file containing Python classes based on the specified JSON schema. Optionally, --force-optional parameter can be used to make all fields in the schema optional.

Commands

The tool's command-line interface allows you to specify options for generating Pydantic models using the following parameters:

# Specify the path to the JSON schema file
schema_path <path_to_schema>

# Option to apply snake_case to variable names
--apply_snake_case [true|false]

# Option to force all variables to be optional
--force_optional [true|false]

# Set the name for the output file, default is the current date in 'dd-mm-yyyy_schema' format
--file_name <file_name>

These parameters can be used to customize the behavior of the model generation to fit your project requirements.

Usage within a Project

JsonPyd can also be used within Python files in a project:

from jsonpyd import JsonPyd

my_schema = '''
{
        "id": "1NW2ZvKYlo2CPkIVYDHw",
        "object": "payment_method",
        "price": 35.5312,
        "price_str": null,
        "billing_details": {
            "address": {
                "city": null,
                "country": "TR",
                "line1": null
            },
            "email": "jenny@example.com"
        }
    }
'''

# Create models using JsonPyd
pkg = JsonPyd(schema=my_schema, options={"force_optional": True})


# You can get Pydantic model by calling .model attribute.
pkg.model

# Or you can create .py file
pkg.convert_to_py()

This creates Pydantic models based on the specified JSON schema and converts them into a .py file.

Features

• Automatic Model Generation: Automatically generates Pydantic models based on JSON schema.
• Optional Fields: Allows making all fields optional within a specific schema structure.
• Pydantic Integration: The generated models can leverage all features provided by Pydantic.

Contribution and Feedback

For any contributions and feedback, please visit my GitHub page or reach me via email.