gino 0.2.0

GINO Is Not ORM - a Python ORM on asyncpg and SQLAlchemy core.

GINO

GINO - GINO Is Not ORM - is an extremely simple Python ORM, using SQLAlchemy core to define table models, and asyncpg to interact with database.

• Free software: BSD license

• Documentation: https://gino.readthedocs.io.

There’s been a lot of words about ORM a.k.a. Object-relational mapping - good or bad - as well as a lot of ORM libraries in Python. It is crucial to pick a most suitable one for your project, and for your team. GINO tries to stay in the middle between ORM and non-ORM, offering an extremely simple option.

GINO tries to define database tables with plain old Python objects - they are normal Python objects, a rollback doesn’t magically change their values. Any database operations are explicit. There are no dirty models, no sessions, no magic. You have concrete control to the database, through a convenient object interface. That’s it.

GINO depends on asyncpg, which means it works only for PostgreSQL and asyncio, which means Python 3 is required - actually 3.6 required for now. Based on SQLAlchemy, gate to its ecosystem is open - feel free to use e.g. Alembic to manage your schema changes. And we specially designed a few candies for the Sanic server.

Usage

A piece of code is worth a thousand words:

from gino import Gino
from sqlalchemy import Column, BigInteger, Unicode

db = Gino()


class User(db.Model):
    __tablename__ = 'users'

    id = Column(BigInteger(), primary_key=True)
    nickname = Column(Unicode(), default='noname')

This is quite similar to SQLAlchemy ORM, but it is actually SQLAlchemy core:

• db = Gino() is actually a sqlalchemy.MetaData object

• class User actually defines a sqlalchemy.Table at User.__table__

Other than that, User is just a normal Python object:

u = User()
u.id = 7
u.id += 2
u.nickname = 'fantix'

Think as if User is defined normally (keep in imagination, not an example):

class User:
    def __init__(self):
        self.id = None
        self.nickname = None

However on class level, you have access to SQLAlchemy columns, which allows you to do SQLAlchemy core programming:

from sqlalchemy import select
query = select([User.nickname]).where(User.id == 9)

The Gino object offers a SQLAlchemy dialect for asyncpg, allowing to execute the query in asyncpg:

import asyncpg
conn = await asyncpg.connect('postgresql://localhost/gino')
query, params = db.compile(query)
rv = await conn.fetchval(query, *params)

And GINO offers some sugars:

u1 = await User.get(9, bind=conn)
u2 = await User.create(bind=conn, nickname=u1.nickname))

async with conn.transaction():
    query, params = db.compile(User.query.where(User.id > 2))
    async for u in User.map(conn.cursor(query, *params)):
        print(u.id, u.nickname)

Features

• Declare SQLAlchemy core tables with plain model objects, no ORM magic

• Easily construct queries and execute them through asyncpg

There’re a few usage examples in the examples directory.

Contribute

To run tests:

python setup.py test

Credits

Credit goes to all contributors listed in the AUTHORS file. This project is inspired by asyncpgsa, peewee-async and asyncorm. asyncpg and SQLAlchemy as the dependencies did most of the heavy lifting. This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.1 (2017-07-25)

• Added db.bind

• API changed: parameter conn renamed to optional bind

• Delegated asyncpg Pool with db.create_pool

• Internal enhancement and bug fixes

0.1.0 (2017-07-21)

• First release on PyPI.