Skip to main content

Automatic Creation of ORM Models from Python Dataclasses.

Project description

Welcome to ORMatic

ORMatic is a python package that automatically converts python dataclasses to sqlalchemy tables. This is done using the declarative mapping. The package outputs a file that can be used as an SQLAlchemy interface.

When designing the dataclasses that should be mapped there are a couple of rules that need to be followed:

  • Fields that are not mapped start with an _ (underscore).
  • The only allowed union is the Optional[_T] union. Whenever you want a union of other types, use common superclasses as type instead.
  • Iterables are never optional and never nested. If you want an optional iterable, use an empty iterable as default factory instead.
  • Superclasses that are not the first mentioned superclass are not queryable via abstract queries. (Polymorphic identity)

If your dataclasses are not compatible with this pattern, there are two workarounds, the Alternative Mapping and the Type Decorator.

Features:

  • Automatic conversion of dataclasses to sqlalchemy tables.

  • Automatic application of relationships.

  • Automatic generation of ORM interface.

  • ORM interface never affects your existing code.

  • Support for inheritance.

  • Support for optional fields.

  • Support for nested dataclasses.

  • Support for many-many relationships.

  • Support for self-referencing relationships.

Example

The most common use case is to create an ORM for an existing set of dataclasses. An example for such a set of dataclasses is found in example.py. The automatically generated ORM interface is found in sqlalchemy_interface.py. Example usage of the ORM interface is found in integration.py.

The following script generates the bindings in sqlalchemy_interface.py.

from enum import Enum
import test.classes.example_classes
from ormatic.ormatic import ORMatic
from ormatic.dao import AlternativeMapping
from ormatic.utils import recursive_subclasses, classes_of_module
from dataclasses import is_dataclass


def main():
    
    # get classes that should be mapped
    classes = set(recursive_subclasses(AlternativeMapping))
    classes |= set(classes_of_module(test.classes.example_classes))
    
    # remove classes that should not be mapped
    classes -= set(recursive_subclasses(Enum))
    classes -= set([cls for cls in classes if not is_dataclass(cls)])
    
    ormatic = ORMatic(classes)
    ormatic.make_all_tables()

    with open('orm_interface.py', 'w') as f:
        ormatic.to_sqlalchemy_file(f)

        
if __name__ == '__main__':
    main()

TODO List

  • Nothing

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

ormatic-1.1.12.tar.gz (26.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ormatic-1.1.12-py3-none-any.whl (17.8 kB view details)

Uploaded Python 3

File details

Details for the file ormatic-1.1.12.tar.gz.

File metadata

  • Download URL: ormatic-1.1.12.tar.gz
  • Upload date:
  • Size: 26.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for ormatic-1.1.12.tar.gz
Algorithm Hash digest
SHA256 758dc9b60e208dcdc828a21ae8124f191367f180eff962bda44957e383536099
MD5 6b31229329183fc5a4c0b0349b82cb29
BLAKE2b-256 0bc4b32ba02a4676ec2fa475eafa22017f26e7a123d72588b7dcd4892226c8da

See more details on using hashes here.

Provenance

The following attestation bundles were made for ormatic-1.1.12.tar.gz:

Publisher: publish-to-pypi.yml on tomsch420/ormatic

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ormatic-1.1.12-py3-none-any.whl.

File metadata

  • Download URL: ormatic-1.1.12-py3-none-any.whl
  • Upload date:
  • Size: 17.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for ormatic-1.1.12-py3-none-any.whl
Algorithm Hash digest
SHA256 6a4d7748340ad82aab67331f4d6f3dc8ba9d8881a2b800ecf00a255fcae21261
MD5 1cd3f571795692a3404fea8d2957fe27
BLAKE2b-256 2a23c54202129c53925bf875c25d307ec5eaf4b42930f5d95280eda170324907

See more details on using hashes here.

Provenance

The following attestation bundles were made for ormatic-1.1.12-py3-none-any.whl:

Publisher: publish-to-pypi.yml on tomsch420/ormatic

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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