A cron job is a scheduled task that runs automatically at specified intervals. These tasks are useful for automating repetitive operations like sending out reminder emails, generating reports, or cleaning up databases. In a Django project, cron jobs can be set up using tools like Celery, which makes scheduling and managing tasks easy and efficient.
Let's begin by creating a Django project, installing necessary packages, and then containerizing the project with Docker.
python -m venv myenv source myenv/bin/activate # On Windows, use myenv\Scripts\activate
pip install django djangorestframework
django-admin startproject myproject cd myproject
python manage.py startapp myapp
# myproject/settings.py INSTALLED_APPS = [ ... 'myapp', 'rest_framework', ]
pip install celery redis
# myproject/celery.py from __future__ import absolute_import, unicode_literals 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() app.conf.beat_schedule = { 'run-this-task-every-day': { 'task': 'myapp.tasks.my_scheduled_task', 'schedule': crontab(minute="00", hour="7"), # Executes every day at 7 AM }, } app.conf.timezone = 'UTC'
# myproject/__init__.py from __future__ import absolute_import, unicode_literals from .celery import app as celery_app __all__ = ('celery_app',)
CELERY_BROKER_URL = os.environ.get('REDIS_URL') CELERY_RESULT_BACKEND = os.environ.get('REDIS_URL') CELERY_ACCEPT_CONTENT = ['json'] CELERY_TASK_SERIALIZER = 'json' CELERY_RESULT_SERIALIZER = 'json' CELERY_TIMEZONE = 'UTC' CELERY_BROKER_CONNECTION_RETRY_ON_STARTUP = True
In your Django app, define the task in tasks.py:
# myapp/tasks.py from celery import shared_task @shared_task def my_scheduled_task(): print("This task runs every every day.")
FROM python:3.8-alpine3.15 ENV PYTHONUNBUFFERED=1 ENV PYTHONDONTWRITEBYTECODE=1 WORKDIR /app COPY requirements.txt /app RUN pip install --no-cache-dir -r requirements.txt COPY . . EXPOSE 9000 CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:8000", "myproject.wsgi:application"]
FROM python:3.8-alpine3.15 ENV PYTHONUNBUFFERED=1 ENV PYTHONDONTWRITEBYTECODE=1 WORKDIR /app COPY requirements.txt /app RUN pip install --no-cache-dir -r requirements.txt COPY . /app CMD ["celery", "-A", "myproject", "worker", "--loglevel=info", "--concurrency=4", "-E", "-B"]
Django==4.2 djangorestframework==3.14.0 celery==5.3.1 redis==5.0.0
services: app: build: context: . dockerfile: Dockerfile.myapi container_name: myapp_api ports: - 7000:7000 env_file: - .env celery: build: context: . dockerfile: Dockerfile.myjob container_name: myapp_job depends_on: - app env_file: - .env
REDIS_URL=
docker-compose up --build
This will start your Django application, along with the Celery worker, and Celery beat scheduler.
Your Celery tasks should now run according to the schedule you defined. You can check the logs at the specified time to confirm that the task is being executed.
Running cron jobs in Django using Celery, Docker, and Redis offers a robust and scalable solution for managing background tasks. Docker ensures that your application runs consistently across different environments, making deployment easier. By following the steps above, you can efficiently automate tasks and manage your Django project with ease.
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