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The simplest way to implement autogenerated strawberry types for columns and relationships in SQLAlchemy models

Project description

strawberry-sqlalchemy-mapper

Strawberry-sqlalchemy-mapper is the simplest way to implement autogenerated strawberry types for columns and relationships in SQLAlchemy models.

  • Instead of manually listing every column and relationship in a SQLAlchemy model, strawberry-sqlalchemy-mapper lets you decorate a class declaration and it will automatically generate the necessary strawberry fields for all columns and relationships in the given model.

  • Native support for most of SQLAlchemy's most common types.

  • Extensible to arbitrary custom SQLAlchemy types.

  • Support for SQLAlchemy >=1.4.x

  • Lightweight and fast.

Getting Started

First, define your sqlalchemy model:

# models.py
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base

Base = declarative_base()

class Employee(Base):
    __tablename__ = 'employee'
    id = Column(UUID, primary_key=True)
    name = Column(String, nullable=False)

Next, decorate a type with strawberry_sqlalchemy_mapper.type() to register it as a strawberry type for the given SQLAlchemy model. This will automatically add fields for the model's columns, relationships, association proxies, and hybrid properties. For example:

# elsewhere
strawberry_sqlalchemy_mapper = StrawberrySQLAlchemyMapper()
@strawberry_sqlalchemy_mapper.type(models.Employee)
class Employee:
    pass

Several examples to help you get started are provided in the examples directory.

Limitations

Natively supports the following SQLAlchemy types:

Integer: int,
Float: float,
BigInteger: int,
Numeric: Decimal,
DateTime: datetime,
Date: date,
Time: time,
String: str,
Text: str,
Boolean: bool,
Unicode: str,
UnicodeText: str,
SmallInteger: int,
SQLAlchemyUUID: uuid.UUID,
VARCHAR: str,
ARRAY[T]: List[T] # PostgreSQL array
Enum: (the Python enum it is mapped to, which should be @strawberry.enum-decorated)

Additional types can be supported by passing extra_sqlalchemy_type_to_strawberry_type_map, although support for TypeDecorator types is untested.

Association proxies are expected to be of the form association_proxy('relationship1', 'relationship2'), i.e., both properties are expected to be relationships.

Contributing

We encourage you to contribute to strawberry-sqlalchemy-mapper! Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature)
  3. Commit your Changes (git commit -m 'Add some feature')
  4. Push to the Branch (git push origin feature)
  5. Open a Pull Request

Prerequisites

This project uses pre-commit_, please make sure to install it before making any changes::

pip install pre-commit
cd strawberry-sqlalchemy-mapper
pre-commit install

It is a good idea to update the hooks to the latest version::

pre-commit autoupdate

Don't forget to tell your contributors to also install and use pre-commit.

Installation

pip install -r requirements.txt

Test

pytest

⚖️ LICENSE

MIT © strawberry-sqlalchemy-mapper

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strawberry-sqlalchemy-mapper-0.1.0.tar.gz (13.4 kB view hashes)

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