Skip to main content

SQLDev, SQL databases in Python, designed for simplicity, compatibility, and robustness.

Project description

SQLDev, SQL databases in Python, designed for simplicity, compatibility, and robustness.

Test Publish Coverage Package version


Documentation: https://sqldev.khulnasoft.com

Source Code: https://github.com/khulnasoft/sqldev


SQLDev 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.

SQLDev is based on Python type annotations, and powered by Pydantic and SQLAlchemy.

The key features are:

  • Intuitive to write: Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs.
  • Easy to use: It has sensible defaults and does a lot of work underneath to simplify the code you write.
  • Compatible: It is designed to be compatible with FastAPI, Pydantic, and SQLAlchemy.
  • Extensible: You have all the power of SQLAlchemy and Pydantic underneath.
  • Short: Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in SQLAlchemy and Pydantic.

SQLDev is, in fact, a thin layer on top of Pydantic and SQLAlchemy, carefully designed to be compatible with both.

Requirements

A recent and currently supported version of Python.

As SQLDev is based on Pydantic and SQLAlchemy, it requires them. They will be automatically installed when you install SQLDev.

Installation

$ pip install sqldev
---> 100%
Successfully installed sqldev

Example

For an introduction to databases, SQL, and everything else, see the SQLDev documentation.

Here's a quick example. ✨

A SQL Table

Imagine you have a SQL table called hero with:

  • id
  • name
  • secret_name
  • age

And you want it to have this data:

id name secret_name age
1 Deadpond Dive Wilson null
2 Spider-Boy Pedro Parqueador null
3 Rusty-Man Tommy Sharp 48

Create a SQLDev Model

Then you could create a SQLDev model like this:

from typing import Optional

from sqldev import Field, SQLDev


class Hero(SQLDev, table=True):
    id: Optional[int] = Field(default=None, primary_key=True)
    name: str
    secret_name: str
    age: Optional[int] = None

That class Hero is a SQLDev model, the equivalent of a SQL table in Python code.

And each of those class attributes is equivalent to each table column.

Create Rows

Then you could create each row of the table as an instance of the model:

hero_1 = Hero(name="Deadpond", secret_name="Dive Wilson")
hero_2 = Hero(name="Spider-Boy", secret_name="Pedro Parqueador")
hero_3 = Hero(name="Rusty-Man", secret_name="Tommy Sharp", age=48)

This way, you can use conventional Python code with classes and instances that represent tables and rows, and that way communicate with the SQL database.

Editor Support

Everything is designed for you to get the best developer experience possible, with the best editor support.

Write to the Database

You can learn a lot more about SQLDev by quickly following the tutorial, but if you need a taste right now of how to put all that together and save to the database, you can do this:

from typing import Optional

from sqldev import Field, Session, SQLDev, create_engine


class Hero(SQLDev, table=True):
    id: Optional[int] = Field(default=None, primary_key=True)
    name: str
    secret_name: str
    age: Optional[int] = None


hero_1 = Hero(name="Deadpond", secret_name="Dive Wilson")
hero_2 = Hero(name="Spider-Boy", secret_name="Pedro Parqueador")
hero_3 = Hero(name="Rusty-Man", secret_name="Tommy Sharp", age=48)


engine = create_engine("sqlite:///database.db")


SQLDev.metadata.create_all(engine)

with Session(engine) as session:
    session.add(hero_1)
    session.add(hero_2)
    session.add(hero_3)
    session.commit()

That will save a SQLite database with the 3 heroes.

Select from the Database

Then you could write queries to select from that same database, for example with:

from typing import Optional

from sqldev import Field, Session, SQLDev, create_engine, select


class Hero(SQLDev, table=True):
    id: Optional[int] = Field(default=None, primary_key=True)
    name: str
    secret_name: str
    age: Optional[int] = None


engine = create_engine("sqlite:///database.db")

with Session(engine) as session:
    statement = select(Hero).where(Hero.name == "Spider-Boy")
    hero = session.exec(statement).first()
    print(hero)

SQLAlchemy and Pydantic

That class Hero is a SQLDev model.

But at the same time, ✨ it is a SQLAlchemy model ✨. So, you can combine it and use it with other SQLAlchemy models, or you could easily migrate applications with SQLAlchemy to SQLDev.

And at the same time, ✨ it is also a Pydantic model ✨. You can use inheritance with it to define all your data models while avoiding code duplication. That makes it very easy to use with FastAPI.

License

This project is licensed under the terms of the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqldev-0.0.16.tar.gz (25.3 kB view hashes)

Uploaded Source

Built Distribution

sqldev-0.0.16-py3-none-any.whl (25.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page