Hot Fresh Pizza🍕

Notes:

• All endpoints can be explored and tried at Swagger UI -> http://127.0.0.1/api/schema/docs/
• pizzeria/management/commands/setup_test_data.py creates test data, can be used as a management command
• category.required_amount field + serializer validation is used to impose business restriction of 1 Base, 1 Cheese, 5 Toppings
• A celery tasks at audit/tasks.py recursively updates the order status
• db_design.png shows all tables and relations, source DBML at dbdiagram/pizza.

Here's how frontend gonna use few of the APIs:

1. add/modify pizzas to his/her order -> [POST,PATCH] /api/pizzeria/orderitem/
2. review order -> [GET] /api/pizzeria/order
3. place order -> [POST] /api/pizzeria/order/place-order
4. track order -> [GET] /api/audit/track/{id}/

Docker:

• system prerequisites: Docker and Docker Compose
• if you tried local setup before, paste content from settings_docker.py to settings.py
• http://127.0.0.1/api/schema/docs/

sudo docker-compose build
sudo docker-compose up

Local Setup:

1. replace the content of settings.py file with settings_local.py file

2. create venv, using python -m venv venv

3. activate the environment

   Ubuntu `source venv/bin/activate`
   Windows Powershell `venv\Scripts\Activate.ps1`
   Windows CMD `venv\Scripts\activate.bat`

4. install dependencies pip install -r requirements.txt

5. connect with local DB instance at project/settings.py

   DATABASES = {
       'default': {
           'ENGINE': 'django.db.backends.<db_name>',
           'NAME': '<schema_name>',
           'USER': '<user_name>',
           'PASSWORD': '<password>',
           'HOST':'localhost',
           'PORT':'3306',
       }
   }
   
   # change redis server's port, default is 6379
   CELERY_BROKER_URL = "redis://localhost:6379"
   CELERY_RESULT_BACKEND = "redis://localhost:6379"
   

6. make migrations, migrate, generate test pizzas and runserver

   python manage.py makemigrations
   python manage.py migrate
   
   python manage.py setup_test_data
   
   python manage.py runserver 8000

7. start redis server

   > redis-server
   

8. start celery worker

   > celery --app=project  worker -l INFO --pool=solo