sqlactive 0.3.6

SQLActive is a lightweight and asynchronous ActiveRecord-style wrapper for SQLAlchemy. Bring Django-like queries, automatic timestamps, nested eager loading, and serialization/deserialization for SQLAlchemy models.

SQLActive

A lightweight and asynchronous ActiveRecord-style wrapper for SQLAlchemy. Brings Django-like queries, automatic timestamps, nested eager loading, and serialization/deserialization for SQLAlchemy models.

Heavily inspired by sqlalchemy-mixins.

Visit the documentation website.

Table of Contents

• Features
• Requirements
• Installation
• Quick Start
  • 1. Define the Models
  • 2. Initialize the Database
  • 3. Perform CRUD Operations
  • 4. Perform Bulk Operations
  • 5. Perform Queries
  • 6. Manage Timestamps
  • 7. Serialization and Deserialization
• Documentation
• Contributing
• License
• Support

Features

• Asynchronous Support: Async operations for better scalability.
• ActiveRecord-like methods: Perform CRUD operations with a syntax similar to Peewee.
• Django-like queries: Perform intuitive and expressive queries.
• Nested eager loading: Load nested relationships efficiently.
• Automatic timestamps: Auto-manage created_at and updated_at fields.
• Serialization/deserialization: Serialize and deserialize models to/from dict or JSON easily.

Requirements

• Python>=3.10
• SQLAlchemy>=2.0.0
• typing_extensions>=4.5.0 (for Python<3.11)

Installation

You can simply install sqlactive from PyPI:

pip install sqlactive

Quick Start

1. Define the Models

The ActiveRecordBaseModel class provides a base class for your models.

It inherits from:

• ActiveRecordMixin: Provides a set of ActiveRecord-like helper methods for interacting with the database.
• TimestampMixin: Adds the created_at and updated_at timestamp columns.
• SerializationMixin: Provides serialization and deserialization methods.

It is recommended to define a BaseModel class that inherits from ActiveRecordBaseModel and use it as the base class for all models as shown in the following example:

from sqlalchemy import String, ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlactive import ActiveRecordBaseModel


# Define a base class for your models (recommended)
class BaseModel(ActiveRecordBaseModel):
    __abstract__ = True


# Define the models
class User(BaseModel):
    __tablename__ = 'users'

    id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True, index=True)
    username: Mapped[str] = mapped_column(String(18), nullable=False, unique=True)
    name: Mapped[str] = mapped_column(String(50), nullable=False)
    age: Mapped[int] = mapped_column(nullable=False)

    posts: Mapped[list['Post']] = relationship(back_populates='user')
    comments: Mapped[list['Comment']] = relationship(back_populates='user')


class Post(BaseModel):
    __tablename__ = 'posts'

    id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True, index=True)
    title: Mapped[str] = mapped_column(String(100), nullable=False)
    body: Mapped[str] = mapped_column(nullable=False)
    rating: Mapped[int] = mapped_column(nullable=False)
    user_id: Mapped[int] = mapped_column(ForeignKey('users.id'))

    user: Mapped['User'] = relationship(back_populates='posts')
    comments: Mapped[list['Comment']] = relationship(back_populates='post')


class Comment(BaseModel):
    __tablename__ = 'comments'

    id: Mapped[int] = mapped_column(primary_key=True, autoincrement=True, index=True)
    body: Mapped[str] = mapped_column(nullable=False)
    post_id: Mapped[int] = mapped_column(ForeignKey('posts.id'))
    user_id: Mapped[int] = mapped_column(ForeignKey('users.id'))

    post: Mapped['Post'] = relationship(back_populates='comments')
    user: Mapped['User'] = relationship(back_populates='comments')

[!WARNING] When defining a BaseModel class, don't forget to set __abstract__ to True in the base class to avoid creating tables for the base class.

[!TIP] The models can directly inherit from the ActiveRecordBaseModel class:

from sqlactive import ActiveRecordBaseModel

class User(ActiveRecordBaseModel):
    __tablename__ = 'users'
    # ...

However, it is recommended to define a base model class for your models and inherit from it.

Your base model class can also inherit directly from the mixins. For example, if you don't want to implement automatic timestamps don't inherit from ActiveRecordBaseModel class. Instead, inherit from ActiveRecordMixin and/or SerializationMixin:

from sqlactive import ActiveRecordMixin, SerializationMixin

class BaseModel(ActiveRecordMixin, SerializationMixin):
    __abstract__ = True

2. Initialize the Database

from asyncio import current_task
from sqlalchemy.ext.asyncio import (
    create_async_engine,
    async_sessionmaker,
    async_scoped_session,
)
from sqlactive import ActiveRecordBaseModel

# Connect to the database
DATABASE_URL = 'sqlite+aiosqlite://'
async_engine = create_async_engine(DATABASE_URL, echo=False)
async_sessionmaker = async_sessionmaker(
    bind=async_engine,
    expire_on_commit=False,
)
async_scoped_session = async_scoped_session(
    async_sessionmaker,
    scopefunc=current_task,
)

# Set the session
BaseModel.set_session(async_scoped_session)

# Initialize the tables
async with async_engine.begin() as conn:
    await conn.run_sync(BaseModel.metadata.create_all)

The use of the expire_on_commit flag is explained in the warning of this section.

[!TIP] Use the DBConnection class as a shortcut to initialize the database. The DBConnection class is a wrapper around the async_engine, async_sessionmaker and async_scoped_session objects:

from sqlactive import DBConnection

DATABASE_URL = 'sqlite+aiosqlite://'
conn = DBConnection(DATABASE_URL, echo=False)
await conn.init_db(BaseModel)

Check the documentation of DB Connection Helper for more information.

3. Perform CRUD Operations

user = await User.insert(username='John1234', name='John Doe', age=25)
user  # <User #1>

user.name = 'Johnny Doe'
user['age'] = 30
await user.save()
user.name  # Johnny Doe

user = await User.get(1)
user  # <User #1>

await user.update(name='John Doe', age=20)
user['name']  # John Doe
user.age  # 20

await user.delete()

[!CAUTION] The delete() and remove() methods are not soft deletes methods. Both of them will permanently delete the row from the database. So, if you want to keep the row in the database, you can implement a custom soft delete method, i.e. using save() method to update the row with a flag indicating if the row is deleted or not (i.e. a boolean is_deleted column).

[!TIP] If you need to create a record for a short period of time, you can use the with statement:

with User(name='Bob', age=30) as user:
    ...

The with statement will create the record and delete it at the end of the block.

Check the Temporary Records documentation for more information.

Also, check the Active Record Mixin API Reference to see all the available methods.

4. Perform Bulk Operations

users = [
    User(username='John1234', name='John Doe', age=20),
    User(username='Jane1234', name='Jane Doe', age=21),
    User(username='Bob1234', name='Bob Doe', age=22),
]

await User.insert_all(users)
users = await User.find(username__endswith='Doe').all()
users  # [<User #1>, <User #2>]

await User.delete_all(users)

users = await User.find(username__endswith='Doe').all()
users  # []

[!TIP] Check the Active Record Mixin API Reference to see all the available methods.

5. Perform Queries

Perform simple and complex queries with eager loading:

from sqlactive import JOINED, SUBQUERY

user = await User.where(name='John Doe').first()
user  # <User #1>

posts = await Post.where(rating__in=[2, 3, 4], user___name__like='%Bi%').all()
posts  # [<Post #1>, <Post #2>, <Post #3>]

posts = await Post.sort('-rating', 'user___name').all()
posts  # [<Post #3>, <Post #1>, <Post #2>, <Post #4>, ...]

comments = await Comment.join(Comment.user, Comment.post).unique_all()
comments  # [<Comment 1>, <Comment 2>, <Comment 3>, <Comment 4>, <Comment 5>, ...]

user = await User.with_subquery(User.posts).first()
user  # <User #1>
user.posts  # [<Post #1>, <Post #2>, <Post #3>]

schema = {
    User.posts: JOINED,
    User.comments: (SUBQUERY, {
        Comment.post: SELECT_IN
    }),
}
user = await User.with_schema(schema).unique_first()
user.comments[0].post.title  # Lorem ipsum

[!WARNING] All relations used in filtering/sorting/grouping should be explicitly set, not just being a backref. See the About Relationships section for more information.

[!TIP] Check the Active Record Mixin API Reference to see all the available methods.

For more flexibility, the low-level filter_expr(), order_expr(), column_expr() and eager_expr() methods can be used.

Example of filter_expr() method usage

Post.filter(*Post.filter_expr(rating__gt=2, body='text'))
# or
session.query(Post).filter(*Post.filter_expr(rating__gt=2, body='text'))

It's like filter in SQLALchemy, but also allows magic operators like rating__gt.

[!IMPORTANT] Low-level filter_expr(), order_expr(), column_expr() and eager_expr() methods are very low-level and does NOT do magic Django-like joins. Use smart_query() for that:

query = User.smart_query(
    criterion=(or_(User.age == 30, User.age == 32),),
    filters={'username__like': '%8'},
    sort_columns=(User.username,),
    sort_attrs=('-created_at',),
    group_columns=(User.username,),
    group_attrs=['age'],
    schema={
        User.posts: JOINED,
        User.comments: (SUBQUERY, {
            Comment.post: SELECT_IN
        }),
    },
)

[!TIP] Check the Smart Query Mixin API Reference for more details about the smart_query() method and the low-level methods.

To perform native SQLAlchemy queries asynchronously, you can use the execute() method:

from sqlalchemy import select, func
from sqlactive import ActiveRecordBaseModel, execute

class BaseModel(ActiveRecordBaseModel):
    __abstract__ = True

class User(BaseModel):
    __tablename__ = 'users'
    # ...

query = select(User.age, func.count(User.id)).group_by(User.age)
result = await execute(query, BaseModel)
# [(20, 1), (22, 4), (25, 12)]

See the Native SQLAlchemy queries documentation for more information.

6. Manage Timestamps

Timestamps (created_at and updated_at) are automatically managed:

user = await User.insert(username='John1234', name='John Doe', age=25)
user.created_at  # 2024-12-28 23:00:51
user.updated_at  # 2024-12-28 23:00:51

await asyncio.sleep(1)

await user.update(name='Johnny Doe')
user.updated_at  # 2024-12-28 23:00:52

[!TIP] Check the TimestampMixin class to know how to customize the timestamps behavior.

7. Serialization and Deserialization

Models can be serialized/deserialized to/from dictionaries using the to_dict() and from_dict() methods:

user = await User.insert(username='John1234', name='John Doe', age=25)
user_dict = user.to_dict()
user_dict  # {'id': 1, 'username': 'John1234', 'name': 'John Doe', ...}

user = User.from_dict(user_dict)
user.name  # John Doe

Also, models can be serialized/deserialized to/from JSON using the to_json() and from_json() methods:

user = await User.insert(username='John1234', name='John Doe', age=25)
user_json = user.to_json()
user_json  # {"id": 1, "username": "John1234", "name": "John Doe", ...}

user = User.from_json(user_json)
user.name  # John Doe

Documentation

Find the complete documentation here.

Contributing

Please read the contribution guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you find this project useful, give it a ⭐ on GitHub to show your support!

Also, give it a ⭐ to sqlalchemy-mixins which inspired this project!