SQLAlchemy support for aiohttp.

Overview

aiohttp-sqlalchemy

Read The Docs build Release PyPI downloads count Python version support MIT License GitHub continuous integration codecov.io status for master branch Codacy

SQLAlchemy 1.4 / 2.0 support for AIOHTTP.

The library provides the next features:

  • initializing asynchronous sessions through a middlewares;
  • initializing asynchronous sessions through a decorators;
  • simple access to one asynchronous session by default key;
  • preventing attributes from being expired after commit by default;
  • support different types of request handlers;
  • support nested applications.

Documentation

https://aiohttp-sqlalchemy.readthedocs.io

Installation

pip install aiohttp-sqlalchemy

Simple example

Install aiosqlite for work with sqlite3:

pip install aiosqlite

Copy and paste this code in a file and run:

from datetime import datetime

import sqlalchemy as sa
from aiohttp import web
from sqlalchemy import orm

import aiohttp_sqlalchemy as ahsa

metadata = sa.MetaData()
Base = orm.declarative_base(metadata=metadata)


class MyModel(Base):
    __tablename__ = 'my_table'

    pk = sa.Column(sa.Integer, primary_key=True)
    timestamp = sa.Column(sa.DateTime(), default=datetime.now)


async def main(request):
    sa_session = ahsa.get_session(request)

    async with sa_session.begin():
        sa_session.add(MyModel())
        result = await sa_session.execute(sa.select(MyModel))
        result = result.scalars()

    data = {
        instance.pk: instance.timestamp.isoformat()
        for instance in result
    }
    return web.json_response(data)


async def app_factory():
    app = web.Application()

    ahsa.setup(app, [
        ahsa.bind('sqlite+aiosqlite:///'),
    ])
    await ahsa.init_db(app, metadata)

    app.add_routes([web.get('/', main)])
    return app


if __name__ == '__main__':
    web.run_app(app_factory())
Sqlalchemy seeder that supports nested relationships.

sqlalchemyseed Sqlalchemy seeder that supports nested relationships. Supported file types json yaml csv Installation Default installation pip install

Jedy Matt Tabasco 10 Aug 13, 2022
ORM for Python for PostgreSQL.

New generation (or genius) ORM for Python for PostgreSQL. Fully-typed for any query with Pydantic and auto-model generation, compatible with any sync or async driver

Yan Kurbatov 3 Apr 13, 2022
A dataclasses-based ORM framework

dcorm A dataclasses-based ORM framework. [WIP] - Work in progress This framework is currently under development. A first release will be announced in

HOMEINFO - Digitale Informationssysteme GmbH 1 Dec 24, 2021
Global base classes for Pyramid SQLAlchemy applications.

pyramid_basemodel pyramid_basemodel is a thin, low level package that provides an SQLAlchemy declarative Base and a thread local scoped Session that c

Grzegorz Śliwiński 15 Jan 03, 2023
A Python Object-Document-Mapper for working with MongoDB

MongoEngine Info: MongoEngine is an ORM-like layer on top of PyMongo. Repository: https://github.com/MongoEngine/mongoengine Author: Harry Marr (http:

MongoEngine 3.9k Dec 30, 2022
The ormar package is an async mini ORM for Python, with support for Postgres, MySQL, and SQLite.

python async mini orm with fastapi in mind and pydantic validation

1.2k Jan 05, 2023
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

dataset: databases for lazy people In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. Read the

Friedrich Lindenberg 4.2k Dec 26, 2022
A single model for shaping, creating, accessing, storing data within a Database

'db' within pydantic - A single model for shaping, creating, accessing, storing data within a Database Key Features Integrated Redis Caching Support A

Joshua Jamison 178 Dec 16, 2022
SQLAlchemy support for aiohttp.

aiohttp-sqlalchemy SQLAlchemy 1.4 / 2.0 support for AIOHTTP. The library provides the next features: initializing asynchronous sessions through a midd

Ruslan Ilyasovich Gilfanov 5 Dec 11, 2022
A pythonic interface to Amazon's DynamoDB

PynamoDB A Pythonic interface for Amazon's DynamoDB. DynamoDB is a great NoSQL service provided by Amazon, but the API is verbose. PynamoDB presents y

2.1k Dec 30, 2022
SQLModel is a library for interacting with SQL databases from Python code, with Python objects.

SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust.

Sebastián Ramírez 9.1k Dec 31, 2022
A database migrations tool for TortoiseORM, ready to production.

Aerich Introduction Aerich is a database migrations tool for Tortoise-ORM, which is like alembic for SQLAlchemy, or like Django ORM with it's own migr

Tortoise 596 Jan 06, 2023
A very simple CRUD class for SQLModel! ✨

Base SQLModel A very simple CRUD class for SQLModel! ✨ Inspired on: Full Stack FastAPI and PostgreSQL - Base Project Generator FastAPI Microservices I

Marcelo Trylesinski 40 Dec 14, 2022
The Python SQL Toolkit and Object Relational Mapper

SQLAlchemy The Python SQL Toolkit and Object Relational Mapper Introduction SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that giv

mike bayer 3.5k Dec 29, 2022
Python helpers for using SQLAlchemy with Tornado.

tornado-sqlalchemy Python helpers for using SQLAlchemy with Tornado. Installation $ pip install tornado-sqlalchemy In case you prefer installing from

Siddhant Goel 122 Aug 23, 2022
Adds SQLAlchemy support to Flask

Flask-SQLAlchemy Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It aims to simplify using SQLAlchemy

The Pallets Projects 3.9k Jan 09, 2023
MongoEngine flask extension with WTF model forms support

Flask-MongoEngine Info: MongoEngine for Flask web applications. Repository: https://github.com/MongoEngine/flask-mongoengine About Flask-MongoEngine i

MongoEngine 815 Jan 03, 2023
Twisted wrapper for asynchronous PostgreSQL connections

This is txpostgres is a library for accessing a PostgreSQL database from the Twisted framework. It builds upon asynchronous features of the Psycopg da

Jan Urbański 104 Apr 22, 2022
A simple project to explore the number of GCs when doing basic ORM work.

Question: Does Python do extremely too many GCs for ORMs? YES, OMG YES. Check this out Python Default GC Settings: SQLAlchemy - 20,000 records in one

Michael Kennedy 26 Jun 05, 2022
Pony Object Relational Mapper

Downloads Pony Object-Relational Mapper Pony is an advanced object-relational mapper. The most interesting feature of Pony is its ability to write que

3.1k Jan 01, 2023