A basic Task Management app where users can:

• Create accounts (register/login)
• Create/update/delete tasks (title, description, deadline, status: pending/ongoing/completed)
• Each task is assigned to a "project"
• Background reminders (using Celery and Redis) for upcoming deadlines
• Auto-notifications sent (using Signals) when a task status changes
• REST APIs using DRF + JWT Authentication
• Admin panel for managing users, tasks, and projects
• Some basic filtering APIs (e.g., tasks by status, due date, assigned project)

TODOs-

• Dockerize the application ✅
• FilterSets ✅
• ENUMs - ✅
• Middleware for authentication ✅
• Test Cases ✅
• ENV and DB changes ✅

To Start the project

#create a virtualenv
python -m venv .venv

#clone the repo
git clone repo-url

#activate the virtual environment
.\.venv\Scripts\activate

#install the dependencies
pip install -r requirements.txt

#run the migrations
python manage.py makemigrations project
python manage.py migrate

#run the server
python manage.py runserver

Routes -

Method	URL	Action	Description
GET	/projects/	list	Get all projects
POST	/projects/	create	Create a new project
GET	/projects/{id}/	retrieve	Get a single project
PUT	/projects/{id}/	update	Update a project
DELETE	/projects/{id}/	destroy	Delete a project
POST	/login	login	User Login
POST	/signup	signup	User Signup
GET	/tasks/	list	Get all task
POST	/tasks/	create	Create a new task
GET	/tasks/{id}/	retrieve	Get a single task
PUT	/tasks/{id}/	update	Update a task
DELETE	/tasks/{id}/	destroy	Delete a task

Task Management using Celery

1. Using Shell for Checking Deadlines Manually

#Start the Virtual Environment
.\.venv\Scripts\Activate

# start the shell
python manage.py shell

# In the shell
from project.tasks import send_upcoming_deadline_reminders
send_upcoming_deadline_reminders.delay()

Start the worker

# open the new terminal

#Start the Virtual Environment
.\.venv\Scripts\Activate

# run the celery worker command
celery -A assignment worker --loglevel=info --pool=solo

2. Using celery beat for Task Scheduling automatically

#Start the Virtual Environment
.\.venv\Scripts\Activate

# Run the Celery Beat
celery -A assignment beat --loglevel=info --scheduler django_celery_beat.schedulers:DatabaseScheduler

Start the worker

# open the new terminal

#Start the Virtual Environment
.\.venv\Scripts\Activate

# run the celery worker command
celery -A assignment worker --loglevel=info --pool=solo