sqlalchemy-events-lib 0.3.3

Event-driven extension for SQLAlchemy that enables listening to database CUD events. This library allows you to react to database changes in real time using a clean, declarative API.

SQLAlchemy Events

About

Event-driven extension for SQLAlchemy that enables listening to database CUD events. This library allows you to react to database changes in real time using a clean, declarative API.

• Currently supports PostgreSQL only

Installation

$ pip install sqlalchemy-events-lib

Quick start

Define models with enabled event tracking using @with_events

models.py

import uuid

from sqlalchemy import UUID
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column

from sqlalchemy_events import with_events, SaEvent


class Base(DeclarativeBase):
    id: Mapped[uuid.UUID] = mapped_column(
        UUID, nullable=False, primary_key=True, default=uuid.uuid4
    )

@with_events([SaEvent.INSERT, SaEvent.UPDATE, SaEvent.DELETE])
class UserModel(Base):
    __tablename__ = 'users'

    name: Mapped[str] = mapped_column()

---

Define event handlers using decorators @sa_insert_handler, @sa_update_handler, @sa_delete_handler

services/handlers.py

from models import UserModel
from sqlalchemy_events import sa_insert_handler

@sa_insert_handler(UserModel)
async def handle_user_insert():
    print('User inserted!')

Optional Argument: rows Handlers can optionally accept a rows argument.

If the parameter is declared in the function signature, it will automatically receive a list of affected row IDs.

from models import UserModel
from sqlalchemy_events import sa_insert_handler

@sa_insert_handler(UserModel)
async def handle_user_insert(rows: list[DB_ID]):
    print('Users inserted!', rows)

Output:

Users inserted! ['3310aa38-f555-4c05-a57f-5acae32a0a7b', '6aeba1b0-8e80-4369-8adf-cf967ab7ba7a']

---

Configure SQLAlchemy async engine

session.py

from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from config import DATABASE_URL

engine = create_async_engine(DATABASE_URL)
async_session = async_sessionmaker(engine, expire_on_commit=False, autoflush=False)

---

Initialize event system and start listening

main.py

import asyncio
from sqlalchemy_events import SQLAlchemyEvents
from session import engine


async def main():
    sa_events = SQLAlchemyEvents(
        engine=engine,
        autodiscover_paths=['services']
    )
    await sa_events()
    while True:
        await asyncio.sleep(9999)

if __name__ == '__main__':
    asyncio.run(main())

Configuration

SQLAlchemyEvents

The SQLAlchemyEvents class accepts the following parameters:

SQLAlchemyEvents(
    engine,
    autodiscover_paths,
    logger=None,
    verbose=True
)

Parameters:

• engine - SQLAlchemy Engine or AsyncEngine instance.

• autodiscover_paths - List of Python module paths where event handlers are defined. These modules are automatically imported so that decorators such as @sa_insert_handler, @sa_update_handler, @sa_delete_handler are executed.
  Example:
  autodiscover_paths=["services", "app.handlers"]

• verbose - Enables detailed logging output. When set to True, the library will log additional informational and warning messages to help with debugging and configuration.

Important:

All modules containing event handlers must be imported through autodiscover This ensures decorator registration is executed at startup

logger (optional)

A standard Python logging.Logger instance.

If provided, the library will log internal lifecycle events such as:

• successful initialization
• listener startup
• trigger setup

Example:

import logging
import asyncio
from sqlalchemy_events import SQLAlchemyEvents
from session import engine

logger = logging.getLogger('sqlalchemy_events')
logger.setLevel(logging.INFO)

async def main():
    sa_events = SQLAlchemyEvents(
        engine=engine,
        autodiscover_paths=['services'],
        logger=logger
    )
    await sa_events()
    while True:
        await asyncio.sleep(9999)

if __name__ == '__main__':
    asyncio.run(main())

How it works

1. autodiscover_paths modules are imported at startup
2. Decorators register event handlers into a global registry
3. Triggers send events via LISTEN/NOTIFY
4. The library receives notifications and dispatches them to registered handlers

Notes

• Handlers can be both async and regular functions
• Only models registered with @with_events will emit events
• Currently supports LISTEN/NOTIFY
• Ensure handlers are imported via autodiscover_paths, otherwise they will not be registered

Example flow

INSERT INTO/UPDATE/DELETE FROM {table} → DATABASE trigger fires → NOTIFY → Python listener receives event → handler is executed

License

MIT