For a while this project will be available online via remote server, but after a suspension of a virtual machine only local version of the project will be operable. Check it out here: https://github.com/Immalakhovskii/recipe-generator-local
Python 3.7 / Django 2.2.19 / Django REST framework 3.13.1 / PostgreSQL 13.0 / Djoser 2.1.0 / Docker 20.10.17 / Node.js 13.12.0 (used in prearranged frontend made with React)
Foodgram is a site that stores, shows and filters recipes from different authors. Via Foodgram users can create and update their own recipes with text description, single image, ingredients with amount. Ingreients preadded into database, list of ingredients can be expanded in admin zone. Every recipe has tags which are useful for filtering and brief insight on recipe features. Unauthorized users can browse recipes, filter them by tags and get to recipe page. Authorized users can subscribe to authors, add recipes to favorites and add recipes to shopping cart. Shopping cart can be downloaded as pdf shopping list which summarizes amounts of equal ingredients and shows total amount. See full API documentation here: http://foodgramm.sytes.net/api/docs/
Foodgram available at: http://foodgramm.sytes.net/, admin zone: http://foodgramm.sytes.net/admin/ In its database it has 10 recipes, 48 ungredients, 5 tags and 6 users. New ingredients and tags can be added only in admin zone, recipes and users can be created and updated via general Foodgram interface
# create you own account or log in as regular user Pasha
email: somemail5@mail.com
password: youllneverguess
Admin zone has some special features:
- Recipes can be searched by name, author username and tags; ingredients can be searched by name
- Recipe model has ingredients ManyToManyField with throgh property so recipe creation page in admin zone has IngredientInline with formset restriction so admin won't be able to create recipe without ingredients
If you need access to admin zone contact @immalakhovskii or try out Foodgram (Local Edition)
On every push the project passes Flake8 tests and updated version of backend Docker image pushes to Docker Hub. Final action is an automatic deploy of the project to private virtual machine