celery-eye 0.1.0

Celery Eye - Django app to monitor and view Celery task logs in the admin panel

Celery Eye

Celery Eye is a Django app that logs and displays Celery task execution details in the Django Admin panel. It enables developers and operators to monitor task history, status, and performance directly from the web UI.

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🚀 Features

• Logs all executed Celery tasks in real-time
• View task name, status, start time, end time, and more
• Admin interface to search, filter, and debug tasks
• Lightweight and easy to integrate
• Works with Redis and Celery 5+

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📦 Installation

pip install celery-eye

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🛠️ Prerequisites

Before installing celery-eye, ensure your Django project is already configured with Celery and Redis.

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🔧 Project Setup

1. Configure celery.py

Create a celery.py file in your main Django project folder (same level as settings.py):

# myproject/celery.py
import os
from celery import Celery

os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'myproject.settings')

app = Celery('myproject')
app.config_from_object('django.conf:settings', namespace='CELERY')
app.autodiscover_tasks()

2. Update __init__.py to initialize Celery

# myproject/__init__.py
from .celery import app as celery_app

__all__ = ['celery_app']

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⚙️ settings.py Configuration

Add the following Celery and Redis configuration in your settings.py:

import os

# Celery Configuration
CELERY_BROKER_URL = os.getenv("CELERY_BROKER_URL", "redis://localhost:6379/0")
CELERY_ACCEPT_CONTENT = ["json"]
CELERY_TASK_SERIALIZER = "json"
CELERY_TIMEZONE = os.getenv("DEFAULT_TIMEZONE", "UTC")  # or your desired timezone

Make sure you have Redis running locally or remotely.

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🧩 Django Integration

1. Add celery_eye to INSTALLED_APPS

INSTALLED_APPS = [
    ...
    'celery_eye',
]

2. Run migrations

python manage.py migrate

3. Create a superuser (if you haven't)

python manage.py createsuperuser

4. Start your services

Make sure your services are running:

# Run Redis
redis-server

# Run Celery Worker (in your Django root directory)
celery -A myproject worker --loglevel=info

# Run Django server
python manage.py runserver

You should now be able to:

• See Celery task execution logs in the Django Admin
• Filter/search by status, task name, and timestamps

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🧪 Example Task

# any_app/tasks.py
from celery import shared_task

@shared_task
def test_task(x, y):
    return x + y

Trigger in a Django shell:

python manage.py shell

from any_app.tasks import test_task
test_task.delay(5, 7)

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🐳 Optional: Redis with Docker

You can spin up Redis with Docker:

docker run -d -p 6379:6379 redis

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🤝 Contributing

Pull requests, issues, and feature suggestions are welcome!

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📄 License

MIT License. See LICENSE for more details.