Using Django to Create and Deploy a Queueing System in Docker

Posted by

Queueing System with Django and Docker

Queueing System with Django and Docker

In today’s fast-paced world, efficient management of tasks and appointments is crucial. A queueing system can help streamline the process of organizing and prioritizing tasks. In this article, we will discuss how to create a queueing system using Django and deploy it to Docker for easy scaling and deployment.

Setting up the Django project

To start with, we need to create a Django project. Make sure you have Django installed on your machine. You can create a new project by running the following command:

$ django-admin startproject queueing_system

Next, create a new app within the project by running:

$ python manage.py startapp queue

Now, we can define models for our queueing system in the models.py file of the queue app. For example, we can have a Task model with fields like title, priority, and status:

“`python
from django.db import models

class Task(models.Model):
title = models.CharField(max_length=100)
priority = models.IntegerField(default=0)
status = models.CharField(max_length=20, default=’pending’)
“`

Don’t forget to run migrations and create the necessary database tables:

$ python manage.py makemigrations

$ python manage.py migrate

Creating views and templates

Now we can create views to handle the logic of adding, updating, and deleting tasks. We can create templates to render the tasks in a user-friendly interface. For example, we can have a list view to display all tasks:

“`python
from django.shortcuts import render
from .models import Task

def task_list(request):
tasks = Task.objects.all()
return render(request, ‘task_list.html’, {‘tasks’: tasks})
“`

Create a template file named task_list.html in the templates folder of the queue app to display the list of tasks:

“`html

Task List

Task List

    {% for task in tasks %}

  • {{ task.title }}
  • {% endfor %}

“`

Deploying to Docker

Now that our queueing system is ready, we can deploy it to Docker for easy scaling and deployment. First, create a Dockerfile in the root of the project with the following content:

“`dockerfile
FROM python:3.8

WORKDIR /app

COPY requirements.txt /app/

RUN pip install -r requirements.txt

COPY . /app/
“`

Create a requirements.txt file in the root of the project with the required dependencies:

“`
Django
“`

Next, build the Docker image by running the following command:

$ docker build -t queueing_system .

Run the Docker container with the following command:

$ docker run -p 8000:8000 queueing_system

Now you can access your queueing system at http://localhost:8000 and start adding tasks to the queue!