orm 0.1.7

An async ORM.

ORM

The orm package is an async ORM for Python, with support for Postgres, MySQL, and SQLite. ORM is built with:

• SQLAlchemy core for query building.
• databases for cross-database async support.
• typesystem for data validation.

Because ORM is built on SQLAlchemy core, you can use Alembic to provide database migrations.

ORM is still under development: We recommend pinning any dependencies with orm~=0.1

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Installation

$ pip install orm

You can install the required database drivers with:

$ pip install orm[postgresql]
$ pip install orm[mysql]
$ pip install orm[sqlite]

Driver support is provided using one of asyncpg, aiomysql, or aiosqlite. Note that if you are using any synchronous SQLAlchemy functions such as engine.create_all() or alembic migrations then you still have to install a synchronous DB driver: psycopg2 for PostgreSQL and pymysql for MySQL.

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Quickstart

Note: Use ipython to try this from the console, since it supports await.

import databases
import orm
import sqlalchemy

database = databases.Database("sqlite:///db.sqlite")
metadata = sqlalchemy.MetaData()


class Note(orm.Model):
    __tablename__ = "notes"
    __database__ = database
    __metadata__ = metadata

    id = orm.Integer(primary_key=True)
    text = orm.String(max_length=100)
    completed = orm.Boolean(default=False)

# 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()

# .exclude()
notes = await Note.objects.exclude(completed=False).all()

# exact, iexact, contains, icontains, lt, lte, gt, gte, in
notes = await Note.objects.filter(text__icontains="mum").all()

# .order_by()
# order by ascending name and descending id
notes = await Note.objects.order_by("name", "-id").all()

# .get()
note = await Note.objects.get(id=1)

# .update()
await note.update(completed=True)

# .delete()
await note.delete()

# 'pk' always refers to the primary key
note = await Note.objects.get(pk=2)
note.pk  # 2

ORM supports loading and filtering across foreign keys...

import databases
import orm
import sqlalchemy

database = databases.Database("sqlite:///db.sqlite")
metadata = sqlalchemy.MetaData()


class Album(orm.Model):
    __tablename__ = "album"
    __metadata__ = metadata
    __database__ = database

    id = orm.Integer(primary_key=True)
    name = orm.String(max_length=100)


class Track(orm.Model):
    __tablename__ = "track"
    __metadata__ = metadata
    __database__ = database

    id = orm.Integer(primary_key=True)
    album = orm.ForeignKey(Album)
    title = orm.String(max_length=100)
    position = orm.Integer()


# 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.
tracks = Track.objects.filter(album__name__iexact="fantasies")
assert len(tracks) == 2

# Limit a query
tracks = await Track.objects.limit(1).all()
assert len(tracks) == 1

Data types

The following keyword arguments are supported on all field types.

• primary_key
• allow_null
• default
• index
• unique

All fields are required unless one of the following is set:

• allow_null - Creates a nullable column. Sets the default to None.
• allow_blank - Allow empty strings to validate. Sets the default to "".
• default - Set a default value for the field.

The following column types are supported. See TypeSystem for type-specific validation keyword arguments.

• orm.BigInteger()
• orm.Boolean()
• orm.Date()
• orm.DateTime()
• orm.Enum()
• orm.Float()
• orm.Integer()
• orm.String(max_length)
• orm.Text()
• orm.Time()
• orm.JSON()