This is the simple social network where users can create, view, like and dislike posts

• User(standard django model)
• Post(text, author, publication date, views, likes)

• Create account
• Edit account
• Delete account
• Log in
• Create post
• Edit post
• Delete post
• View post
• Like post
• Dislike post(remove like)

To know how to send these request open API_docs.md file

• Django
• Django Rest Framework
• Django's build in DB sqlite3

• Download all requirements with pip install -r requirements.txt
• Perform migrations to DB with python manage.py runserver migrate (In Backend folder)

• Run command python manage.py runserver in Backend folder

• Run command python manage.py test in Backend folder

This is bot which, with the help of API requests, perform several manipulations with users and posts

• Read number_of_users, max_posts_per_user and max_likes_per_user from bot_configs
• Create number_of_users users
• Log in every user
• Create from 1 to max_posts_per_user posts for every user
• Like posts according to the next principles:
  1. The next user who likes a post is the user with the most posts created by him and this user does not reach the maximum number of likes (max_likes_per_user).
  2. The user likes posts until he gets the maximum number of likes.
  3. The user likes random posts of users who have at least one post without likes.
  4. If there are no posts with 0 likes at all, the bot ends its work
  5. Users cannot like their own posts
  6. Posts can be liked multiple times, but the user can like a particular post only once
• Delete all created users

• Run Django(you can specify not localhost in .env file + you need to add it to ALLOWED_HOSTS in settings.py )
• Just run bot.py file with python3 bot.py in bot directory

Every action is logged to console and bot.log file

• Django, DRF
• requests module to send API requests

• Run docker-compose build in project directory

• Run docker-compose up backend in project directory to run backend
• In another terminal run docker-compose up bot in project directory to run bot

• Run docker-compose up test in project directory