celery-sqlmodel-beat 0.1.4

Celery Periodic Tasks backed by the sqlmodel

Database backed Celery Beat Scheduler

Description

This is an sqlmodel based implementation of the celery beat scheduler. It persists periodic celery tasks in a SQLAlchemy-compatible database.

Usage

You can install this package using pip. After installation, specify the database connection string in the Celery config, using the name beat_dburi. Modified from sqlmodel-celery-beat to support pydantic v2. and optimize some functions

You can run the beat instance using:

install

pip install celery-sqlmodel-beat

tasks.py

from celery import Celery
from sqlmodel_celery_beat.schedulers import (  # pylint: disable=unused-import
    DatabaseScheduler,
)

beat_scheduler = "sqlmodel_celery_beat.schedulers:DatabaseScheduler"

beat_dburi = 'sqlite:///schedule.db'
# beat_dburi = 'mysql+mysqlconnector://root:root@127.0.0.1/celery-schedule'

config = {
    "broker_url": "redis://:127.0.0.1:6379/1",
    "result_backend": "redis://:127.0.0.1:6379/2",
    "beat_dburi": beat_dburi,
}

celery = Celery(__name__)

celery.config_from_object(config)

celery.autodiscover_tasks()

@celery.task(name='tasks.add')
def add(x, y):
    return x + y

Run Celery

celery -A tasks:celery worker -l info
celery -A tasks:celery beat -S tasks:DatabaseScheduler -l info