celery-sqlalchemy 0.1.6

SQLAlchemy model serialization for celery.

celery-sqlalchemy

SQLAlchemy model serialization for celery. Supports SQLAlchemy 1.4 & 2.0.

Install

pip install celery-sqlalchemy

How does it work?

Any model or list of models passed to a celery task as a direct argument will be serialized/deserialized by celery-sqlalchemy.

Behind the scenes

The orjson library is used behind the scenes to handle serialization of commonly used Python types.

Usage

By default celery-sqlalchemy will configure Celery to use the json+sqlalchemy content type for all tasks and no further configuration is needed.

from celery_sqlalchemy.celery import initialize as initialize_celery
from celery_sqlalchemy.json import JsonSerializer

# setup celery
celery = ...

# initialize celery-sqlalchemy
initialize_celery(celery, JsonSerializer())

# dispatch a task
author = "Alan Watts"
title = "Become What You Are"

task.delay(Model(author=author, title=title))

Using the json+sqlalchemy content type in combination with other content types

The first way of doing this is by specifying the json+sqlalchemy content type as the default task serializer.

from celery_sqlalchemy.celery import initialize as initialize_celery
from celery_sqlalchemy.json import JsonSerializer

# setup celery
celery = ...

# initialize celery-sqlalchemy without the `apply_serializer` setting
initialize_celery(celery, JsonSerializer(), apply_serializer=False)

# combine the json+sqlalchemy content type with your other content types
celery.conf.accept_content = ["json+sqlalchemy", "your content type"]
celery.conf.result_accept_content = ["json+sqlalchemy", "your content type"]

# set the default task serializer
celery.conf.task_serializer = "json+sqlalchemy"

# dispatch a model task
author = "Alan Watts"
title = "Become What You Are"

task.delay(Model(author=author, title=title))

# dispatch a task using another content type
task.apply_async((author, title), serializer="your content type")

The other way of doing this is by not specifying the default task serializer, and instead using apply_async() to dispatch all tasks.

from celery_sqlalchemy.celery import initialize as initialize_celery
from celery_sqlalchemy.json import JsonSerializer

# setup celery
celery = ...

# initialize celery-sqlalchemy without the `apply_serializer` setting
initialize_celery(celery, JsonSerializer(), apply_serializer=False)

# combine the json+sqlalchemy content type with your other content types
celery.conf.accept_content = ["json+sqlalchemy", "your content type"]
celery.conf.result_accept_content = ["json+sqlalchemy", "your content type"]

# dispatch a model task
author = "Alan Watts"
title = "Become What You Are"

task.apply_async((Model(author=author, title=title),), serializer="json+sqlalchemy")

# dispatch a task using another content type
task.apply_async((author, title), serializer="your content type")

Changelog

• 0.1.6
  • Extract celery support into its own module
  • Remove celery_sqlalchemy.initialize()
• 0.1.5
  • Bump sqlalchemy dependency
• 0.1.4
  • Bug fix: schema model may already be converted to model instance when chaining
• 0.1.3
  • Check list type when converting json back to argument
• 0.1.2
  • Add py.typed for mypy
• 0.1.1
  • Add support for SQLAlchemy 1.4
• 0.1.0
  • Initial version with support for common Python types