sqlapydantic 0.0.4

Generate pydantic models from SQLAlchemy models

sqlapydantic

Generate Pydantic Model from SQLAlchemy Model

This package is helpful while building web apps with FastAPI and SQLAlchemy. It generates Pydantic Model from SQLAlchemy Model.

Installation

To install,

pip install sqlapydantic

Quickstart

You may use generate_models function directly to generate Pydantic Model from SQLAlchemy Model. It takes Generator's init arguments and init a Generator class.

Examples:

    from sqlapydantic import generate_model
    
    generate_model(models=[MyModel], base_model=CustomBaseModel)

from  sqlapydantic import Generator

generator = Generator(base_model=CustomBaseModel)
generator.generate_from_module(models=my_models_module, output_path="schemas.py")

Generator Class takes following init arguments

• split_models: Whether to split models into Base, Create, Update and Read models. Default is Fakse.
• base_model: Base model to inherit from. Default is BaseModel from pydantic.
• restrict_fields: Which takes a set of fields to restrict. Default is None. This is useful when you want to restrict some fields to be readonly such as id, created_at, updated_at.
• indentation: Indentation to use in generated code.

RoadMap

• Strict typing, such as using conint for limiting Integer size and constr for String length.
• Probably, generate relationships as well.