SpaApp

• Backend Service -
  

• Celery Service -
  
  

• Backend part of the application working with users and functionality of comments, chats
  
  

• I have described in detail how to use the APIs of this project in the Postman documentation :

  • https://documenter.getpostman.com/view/26500283/2sA2rGvKJz
    
    

• Also in the image on my Docker Hub is always the latest version of the code using the GitHub CD :

  • https://hub.docker.com/r/vyacheslavshrot/spa_app_backend
    
    
  • https://hub.docker.com/r/vyacheslavshrot/spa_app_celery

Structure

• This project is written in the latest version of Python 3.11 along with the Django framework
  
  

• All code is written in OOP
  
  

• NoSQL database MongoDB is connected via official images

  • Django ORM was used to work with the database
    
    

• WebSocket chat functionality is connected, i.e. Django Channels
  
  

• Implemented queue functionality using Celery and RabbitMQ message broker
  
  

• Caching is used in some cases
  
  

• The JWT token is used to authenticate the user

Launch in Docker-Compose

• Just a few steps are enough to do:

  • Copy the already prepared file docker-compose.yml to the folder
    
    

  • At the level of this file, create an .env file where you write the following variables:

    • Write a SECRET_KEY variable for the JWT token ( it can be a random value )
      
      

    • MONGO_INITDB_ROOT_USERNAME
      
      

    • MONGO_INITDB_ROOT_PASSWORD
      
      

    • MONGO_DB_AUTH_SOURCE ( for this variable usually 'admin' value is used)
      
      

    • ME_CONFIG_MONGODB_ADMINUSERNAME ( use the same data as for image mongo )
      
      

    • ME_CONFIG_MONGODB_ADMINPASSWORD ( use the same data as for image mongo )
      
      

    • ME_CONFIG_MONGODB_SERVER=mongo
      
      

  • After installing the environment, we run:

  docker-compose up -d
  

  • After successful launch in our project folder should be created 2 folders:

    • mongodb_data
      
      

    • rabbitmq_data
      
      

  • It means that all started well
    
    

  • And the last step is to apply the migrations in the container:

  docker exec -it backend bash
  

  python src/manage.py migrate
  

• Now the backend part is ready to be used)