A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy
Check out the project documentation 📚 for more information.
A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy, offering features such as:
Sync and async repositories, featuring common CRUD and highly optimized bulk operations
Integration with major web frameworks including Litestar, Starlette, FastAPI, Sanic.
Custom-built alembic configuration and CLI with optional framework integration
Utility base classes with audit columns, primary keys and utility functions
Optimized JSON types including a custom JSON type for Oracle.
Integrated support for UUID6 and UUID7 using uuid-utils
(install with the uuid
extra)
Pre-configured base classes with audit columns UUID or Big Integer primary keys and a sentinel column.
Synchronous and asynchronous repositories featuring:
LIKE
, IN
, and dates before and/or after.Tested support for multiple database backends including:
pip install advanced-alchemy
[!IMPORTANT]
Check out the installation guide in our official documentation!
Advanced Alchemy includes a set of asynchronous and synchronous repository classes for easy CRUD operations on your SQLAlchemy models.
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.filters import LimitOffset
from advanced_alchemy.repository import SQLAlchemySyncRepository
from sqlalchemy import create_engine
from sqlalchemy.orm import Mapped, sessionmaker
class User(UUIDBase):
# you can optionally override the generated table name by manually setting it.
__tablename__ = "user_account" # type: ignore[assignment]
email: Mapped[str]
name: Mapped[str]
class UserRepository(SQLAlchemySyncRepository[User]):
"""User repository."""
model_type = User
# use any compatible sqlalchemy engine.
engine = create_engine("duckdb:///:memory:")
session_factory = sessionmaker(engine, expire_on_commit=False)
# Initializes the database.
with engine.begin() as conn:
User.metadata.create_all(conn)
with session_factory() as db_session:
repo = UserRepository(session=db_session)
# 1) Create multiple users with `add_many`
bulk_users = [
{"email": '[email protected]', 'name': 'Cody'},
{"email": '[email protected]', 'name': 'Janek'},
{"email": '[email protected]', 'name': 'Peter'},
{"email": '[email protected]', 'name': 'Jacob'}
]
objs = repo.add_many([User(**raw_user) for raw_user in bulk_users])
db_session.commit()
print(f"Created {len(objs)} new objects.")
# 2) Select paginated data and total row count. Pass additional filters as kwargs
created_objs, total_objs = repo.list_and_count(LimitOffset(limit=10, offset=0), name="Cody")
print(f"Selected {len(created_objs)} records out of a total of {total_objs}.")
# 3) Let's remove the batch of records selected.
deleted_objs = repo.delete_many([new_obj.id for new_obj in created_objs])
print(f"Removed {len(deleted_objs)} records out of a total of {total_objs}.")
# 4) Let's count the remaining rows
remaining_count = repo.count()
print(f"Found {remaining_count} remaining records after delete.")
For a full standalone example, see the sample here
Advanced Alchemy includes an additional service class to make working with a repository easier. This class is designed to accept data as a dictionary or SQLAlchemy model, and it will handle the type conversions for you.
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.filters import LimitOffset
from advanced_alchemy import SQLAlchemySyncRepository, SQLAlchemySyncRepositoryService
from sqlalchemy import create_engine
from sqlalchemy.orm import Mapped, sessionmaker
class User(UUIDBase):
# you can optionally override the generated table name by manually setting it.
__tablename__ = "user_account" # type: ignore[assignment]
email: Mapped[str]
name: Mapped[str]
class UserRepository(SQLAlchemySyncRepository[User]):
"""User repository."""
model_type = User
class UserService(SQLAlchemySyncRepositoryService[User]):
"""User repository."""
repository_type = UserRepository
# use any compatible sqlalchemy engine.
engine = create_engine("duckdb:///:memory:")
session_factory = sessionmaker(engine, expire_on_commit=False)
# Initializes the database.
with engine.begin() as conn:
User.metadata.create_all(conn)
with session_factory() as db_session:
service = UserService(session=db_session)
# 1) Create multiple users with `add_many`
objs = service.create_many([
{"email": '[email protected]', 'name': 'Cody'},
{"email": '[email protected]', 'name': 'Janek'},
{"email": '[email protected]', 'name': 'Peter'},
{"email": '[email protected]', 'name': 'Jacob'}
])
print(objs)
print(f"Created {len(objs)} new objects.")
# 2) Select paginated data and total row count. Pass additional filters as kwargs
created_objs, total_objs = service.list_and_count(LimitOffset(limit=10, offset=0), name="Cody")
print(f"Selected {len(created_objs)} records out of a total of {total_objs}.")
# 3) Let's remove the batch of records selected.
deleted_objs = service.delete_many([new_obj.id for new_obj in created_objs])
print(f"Removed {len(deleted_objs)} records out of a total of {total_objs}.")
# 4) Let's count the remaining rows
remaining_count = service.count()
print(f"Found {remaining_count} remaining records after delete.")
Advanced Alchemy works with nearly all Python web frameworks. Several helpers for popular libraries are included, and additional PRs to support others are welcomed.
Advanced Alchemy is the official SQLAlchemy integration for Litestar.
In addition to installing with pip install advanced-alchemy
,
it can also be installed as a Litestar extra with pip install litestar[sqlalchemy]
.
from litestar import Litestar
from litestar.plugins.sqlalchemy import SQLAlchemyPlugin, SQLAlchemyAsyncConfig
# alternately...
# from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyPlugin
# from advanced_alchemy.extensions.litestar.plugins.init.config import SQLAlchemyAsyncConfig
alchemy = SQLAlchemyPlugin(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"),
)
app = Litestar(plugins=[alchemy])
For a full Litestar example, check here
from fastapi import FastAPI
from advanced_alchemy.config import SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.starlette import StarletteAdvancedAlchemy
app = FastAPI()
alchemy = StarletteAdvancedAlchemy(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"), app=app,
)
For a full FastAPI example, see here
from starlette.applications import Starlette
from advanced_alchemy.config import SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.starlette import StarletteAdvancedAlchemy
app = Starlette()
alchemy = StarletteAdvancedAlchemy(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"), app=app,
)
from sanic import Sanic
from sanic_ext import Extend
from advanced_alchemy.config import SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.sanic import SanicAdvancedAlchemy
app = Sanic("AlchemySanicApp")
alchemy = SanicAdvancedAlchemy(
sqlalchemy_config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"),
)
Extend.register(alchemy)
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