Aldjemy
Aldjemy integrates SQLAlchemy into an existing Django project, to help you build complex queries that are difficult for the Django ORM.
While other libraries use SQLAlchemy reflection to generate SQLAlchemy models, Aldjemy generates the SQLAlchemy models by introspecting the Django models. This allows you to better control what properties in a table are being accessed.
Installation
Add aldjemy
to your INSTALLED_APPS
. Aldjemy will automatically add
an sa
attribute to all models, which is an SQLAlchemy Model
.
Example:
User.sa.query().filter(User.sa.username=='Brubeck')
User.sa.query().join(User.sa.groups).filter(Group.sa.name=="GROUP_NAME")
Explicit joins are part of the SQLAlchemy philosophy, so don\'t expect Aldjemy to be a Django ORM drop-in replacement. Instead, you should use Aldjemy to help with special situations.
Settings
You can add your own field types to map django types to sqlalchemy ones
with ALDJEMY_DATA_TYPES
settings parameter. Parameter must be a
dict
, key is result of field.get_internal_type()
, value must be a
one arg function. You can get idea from aldjemy.table
.
Also it is possible to extend/override list of supported SQLALCHEMY
engines using ALDJEMY_ENGINES
settings parameter. Parameter should be
a dict
, key is substring after last dot from Django database engine
setting (e.g. sqlite3
from django.db.backends.sqlite3
), value is
SQLAlchemy driver which will be used for connection (e.g. sqlite
,
sqlite+pysqlite
). It could be helpful if you want to use
django-postgrespool
.
Mixins
Often django models have helper function and properties that helps to represent the model\'s data ([__str__]{.title-ref}), or represent some model based logic.
To integrate it with aldjemy models you can put these methods into a separate mixin:
class TaskMixin:
def __str__(self):
return self.code
class Task(TaskMixin, models.Model):
aldjemy_mixin = TaskMixin
code = models.CharField(_('code'), max_length=32, unique=True)
VoilĂ ! You can use __str__
on aldjemy classes, because this mixin will
be mixed into generated aldjemy model.
If you want to expose all methods and properties without creating a separate mixin class, you can use the [aldjemy.meta.AldjemyMeta]{.title-ref} metaclass:
class Task(models.Model, metaclass=AldjemyMeta):
code = models.CharField(_('code'), max_length=32, unique=True)
def __str__(self):
return self.code
The result is same as with the example above, only you didn\'t need to create the mixin class at all.
Release Process
Make a Pull Request with updated changelog and bumped version of the project
bash hatch version (major|minor|patch) # choose which version to bump
Once the pull request is merged, create a github release with the same version, on the web console or with github cli.
bash gh release create
Enjoy!