Async ORM + Pydantic = Ormantic ❤️
Project description
Ormantic
The ormantic
package is an async ORM for Python, with support for Postgres,
MySQL, and SQLite. Ormatic is a fork from ORM
for the purpose of
integrating with FastAPI
and is built with:
- SQLAlchemy core for query building.
databases
for cross-database async support.pydantic
for data validation.
Because ORM is built on SQLAlchemy core, you can use Alembic to provide database migrations.
Note: Use ipython
to try this from the console, since it supports await
.
import databases
import sqlalchemy
import ormantic as orm
database = databases.Database("sqlite:///db.sqlite")
metadata = sqlalchemy.MetaData()
class Note(orm.Model):
id: orm.Integer(primary_key=True) = None
text: orm.String(max_length=100)
completed: orm.Boolean() = False
class Mapping:
table_name = "notes"
database = database
metadata = metadata
# Create the database
engine = sqlalchemy.create_engine(str(database.url))
metadata.create_all(engine)
# .create()
await Note.objects.create(text="Buy the groceries.", completed=False)
await Note.objects.create(text="Call Mum.", completed=True)
await Note.objects.create(text="Send invoices.", completed=True)
# .all()
notes = await Note.objects.all()
# .filter()
notes = await Note.objects.filter(completed=True).all()
# exact, iexact, contains, icontains, lt, lte, gt, gte, in
notes = await Note.objects.filter(text__icontains="mum").all()
# .get()
note = await Note.objects.get(id=1)
# .update()
await note.update(completed=True)
# .delete()
await note.delete()
note = await Note.objects.get(id=2)
assert note.pk == note.id == 2
Ormantic supports loading and filtering across foreign keys...
import databases
import sqlalchemy
import ormantic as orm
database = databases.Database("sqlite:///db.sqlite")
metadata = sqlalchemy.MetaData()
class Album(orm.Model):
id: orm.Integer(primary_key=True) = None
name: orm.String(max_length=100)
class Mapping:
table_name = "album"
metadata = metadata
database = database
class Track(orm.Model):
id: orm.Integer(primary_key=True) = None
album: orm.ForeignKey(Album)
title: orm.String(max_length=100)
position: orm.Integer()
class Mapping:
table_name = "track"
metadata = metadata
database = database
# Create the database
engine = sqlalchemy.create_engine(str(database.url))
metadata.create_all(engine)
# Create some records to work with.
malibu = await Album.objects.create(name="Malibu")
await Track.objects.create(album=malibu, title="The Bird", position=1)
await Track.objects.create(album=malibu, title="Heart don't stand a chance", position=2)
await Track.objects.create(album=malibu, title="The Waters", position=3)
fantasies = await Album.objects.create(name="Fantasies")
await Track.objects.create(album=fantasies, title="Help I'm Alive", position=1)
await Track.objects.create(album=fantasies, title="Sick Muse", position=2)
# Fetch an instance, without loading a foreign key relationship on it.
track = await Track.objects.get(title="The Bird")
# We have an album instance, but it only has the primary key populated
print(track.album) # Album(id=1) [sparse]
print(track.album.pk) # 1
print(track.album.name) # Raises AttributeError
# Load the relationship from the database
await track.album.load()
assert track.album.name == "Malibu"
# This time, fetch an instance, loading the foreign key relationship.
track = await Track.objects.select_related("album").get(title="The Bird")
assert track.album.name == "Malibu"
# Fetch instances, with a filter across an FK relationship.
tracks = Track.objects.filter(album__name="Fantasies")
assert len(tracks) == 2
# Fetch instances, with a filter and operator across an FK relationship.
assert Track.objects.filter(album__name__iexact="fantasies").count() == 2
Data types
The following keyword arguments are supported on all field types.
primary_key
allow_null
index
unique
The following column types are supported:
orm.Boolean()
orm.Date()
orm.DateTime()
orm.Enum()
orm.Float()
orm.Integer()
orm.JSON()
orm.String(max_length)
orm.StringArray()
orm.Text()
orm.Time()
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