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The easiest way to create your Restful CRUD APIs

Project description

CrudAPI: The easiest way to create your CRUD APIs

codecov Code style: black PyPI version

Combining the power of FastAPI and SQLModel, you'll only have to care about modeling your data and we'll take care of building up a RESTful API for it.

from typing import Optional

from sqlmodel import Field
from sqlmodel import SQLModel

from crudapi import CrudAPI
from crudapi.models import BaseModel


class BookUpdate(SQLModel, table=False):

    description: Optional[str] = Field(nullable=True)
    review: Optional[str] = Field(nullable=True)


class BookCreate(BookUpdate):

    title: str = Field(nullable=False)


class Book(BookCreate, BaseModel, table=True):

    __tablename__ = "books"


crud =  CrudAPI()
crud.include_model(
    orm_model=Book,
    create_model=BookCreate,
    update_model=BookUpdate,
)

you'll get, out of the box, a working crudapi with all these working REST endpoints:

  • GET: /books
  • POST: /books
  • GET: /books/<id>
  • PATCH: /books/<id>
  • PUT: /books/<id>
  • DELETE: /books/<id>

and because CrudAPI subclasses FastAPI you'll also get all the incredible features of this wonderful library, including automatic OpenAPI schema generation and a working SwaggerUI:

SwaggerUI generated from demo code


Samples

Under the /samples directory you'll find some CrudAPIs to help you understand the included features of this library.

Pay special attention to the definitions on samples/models.py and how they relate to the automagically generated OpenAPI specification and APIs.

We've also commited the .vscode/launch.json configuration file. With it, if you are a VSCode user you'll be able to launch some test & debugging servers.


Development

We use Poetry for packaging and dependency management:

poetry install

poetry shell

We use Pytest for testing:

pytest

You can start a testing server running:

uvicorn tests.server:app --reload

Acknowledgments

This wouldn't be possible without the great people working in the following open source projects. Eternal thanks to all of them.

  • SQLAlchemy "The database toolkit for python."
  • Starlette "The little ASGI framework that shines."
  • pydantic "Data validation and settings management using Python type hinting."
  • FastAPI "FastAPI framework, high performance, easy to learn, fast to code, ready for production."
  • SQLModel "SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness."

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