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A comprehensive stack solution that ensures seamless compatibility between Celery and Django, integrating key components such as django-celery-beat, django-celery-result, and django-celery-progress. This integration provides web developers with a robust framework for handling asynchronous tasks, scheduling, and tracking task execution within their Django projects.

In addition, its interface and interaction are very friendly and modern, and it has overcome the traditional interaction shortcomings of Django by referencing DjangoAsyncAdmin.

• Asynchronous Task Queue :

  Utilize Celery’s distributed message passing system to delegate CPU-bound tasks to the background, improving the responsiveness and performance of the application.
  

• Scheduled Task Scheduler:

  With the built-in Celery Beat scheduler, easily arrange periodic tasks such as data synchronization, report generation, etc.
  

• Task Result Tracking:

  Leverage Celery’s result backend to persist task execution results, making it easier to debug and monitor task status.
  

• Progress Updates:

  By integrating with django-celery-progress, provide real-time task progress updates to users for interactive feedback.
  

• Optimized Management Interface:

  Building on the foundation of the three projects, DjangoAsyncAdmin is used to optimize and enhance the interaction and management pages, making it more intuitive and convenient to manage tasks and monitor progress.
  

• Easy to Integrate and Extend:

  The design of Django Celery Stack & Admin is flexible, allowing for easy integration with other Django applications and Celery components to meet various requirements.
  

For both traditional web developers handling substantial data processing needs and system administrators tasked with intricate scheduling, this full stack solution for Celery and Django compatibility is the optimal selection. It delivers a proficient and scalable framework for managing asynchronous tasks and scheduling, enhancing the performance of your Django projects. Embrace this solution today and begin reaping the benefits of streamlined task management and scheduling within your Django environment.

1. Install

   pip install django-celery-stack

   2. Django project configuration

      • Register APP (settings.py)

          # Application definition
          INSTALLED_APPS = [
            ...
            django_celery_stack
            ...
          ]

      • configure the result backend ( settings.py )

        CELERY_RESULT_BACKEND = "django_celery_stack.backends:CustomDatabaseBackend"

      • configure the url and router ( proj.urls.py ):

        urlpatterns.append(path('celery/', include('django_celery_stack.urls')))

      • create a celery.py file under the proj folder:

        import os
        from celery import Celery
        from celery.schedules import crontab
        
        # Set the default Django settings module for the 'celery' program.
        os.environ.setdefault('DJANGO_SETTINGS_MODULE', '<project_name>.settings')
        
        app = Celery('<project_name>')
        
        # Using a string here means the worker doesn't have to serialize
        # the configuration object to child processes.
        # - namespace='CELERY' means all celery-related configuration keys
        #   should have a `CELERY_` prefix.
        app.config_from_object('django.conf:settings', namespace='CELERY')
        app.conf.update(
            task_time_limit=3600,  # 将任务超时时间设置为 3600 秒（1小时）
        )
        # Load task modules from all registered Django apps.
        app.autodiscover_tasks(packages=['<some_packages_you_registered_tasks>'])

      • load the celery.py to the running. ( proj.__init__.py ):

        from .celery import app as celery_app
        
        __all__ = ('celery_app',)            

• Implement an automatic task distribution mechanism to make task distribution more flexible and convenient.
• Re-adjust the result management of subtasks and parent tasks.
• Persistence and associated display of associated information between main and subtasks.
• Refer to celery-progress
• Refer to django-celery-monitor

1. Clone the project to your local.

   git clone https://github.com/Haoke98/django-celery-stack.git

2. Build the package.

   python setup.py build sdist

3. Deploy to PyPI.

   twine upload dist/*