Backend for SPA Web Application

Overview

REST API built with Django Rest Framework for an application focused on atomic habit tracking.

The system provides:

• User registration and authentication
• Full CRUD functionality for the Habit model
• Access control using JWT authentication
• Data validation at the serializer level

The application also includes integration with the Telegram API to send notifications to users.

The project includes unit test coverage and API documentation.

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Example GET Response

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Project Structure

• habits

  • accounts - User management
  • habits - Project configuration
  • habits_app - Habit management logic
  • utils - External service integrations
    • TG.py - Telegram API integration
  • manage.py

• readme_assets - Assets used in README.md

• .env.sample - Example environment configuration

• README.md

Project Setup

The project requires PostgreSQL and Redis.

Clone the repository:

git clone https://github.com/Lio-Kay/DRF_Habits_Tracker

Create a .env file based on .env.sample and configure the environment variables.

Create a PostgreSQL database and start the Redis server.

Run the application:

poetry update
cd .\habits\
python manage.py runserver

Running telegram notification workers:

unix:
celery -A habits worker -l INFO
windos:
celery -A habits1 worker -l INFO -S eventlet
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celery -A habits beat -l INFO -S eventlet

Technologies

• Django+DRF;
  • drf-yasg;
  • djangorestframework-simlejwt;
  • django-cors-headers;
• redis;
• celery;
• psycopg2-binary;
• python-dotenv;
• requests.

Additional Features

• Custom implementation of BaseUserManager and AbstractUser for extended user registration
• 90%+ unit test coverage
• API endpoint documentation generated using OpenAPI