RESUMO EM ANDAMENTO

Conceito:

Criação de projeto backend API REST com Django REST Framework, utilizando ViewSets e Routers. Publicação (deploy) em cloud Amazon Web Services (AWS). Consumo da API REST com Postman. Pré-requisitos são conta gratuita no Postman e na AWS. Será utilizado serviço free tier AWS EC2 (gratuito). API REST conciste em CRUD de loft em Londres.

API REST Django:

1. Instalar Django: pip3 install django djangorestframework django-cors-headers --break-system-packages
2. Criar projeto e app: django-admin startproject loft_api && cd loft_api && python manage.py startapp lofts
3. Editar loft_api/settings.py, complementando com códigos:

   
   INSTALLED_APPS = [
       # Outro conteúdo
       "rest_framework",
       "corsheaders",
       "lofts",
   ]
   
   MIDDLEWARE = [
       # Outro conteúdo
       "corsheaders.middleware.CorsMiddleware",
   ]
   
   CORS_ALLOW_ALL_ORIGINS = True
   
   REST_FRAMEWORK = {
       "DEFAULT_RENDERER_CLASSES": [
           "rest_framework.renderers.JSONRenderer",
       ],
       "DEFAULT_PARSER_CLASSES": [
           "rest_framework.parsers.JSONParser",
       ]
   }
   

4. Em lofts/models.py, criar model Loft:

   
   from django.db import models
   
   class Loft(models.Model):
       title = models.CharField(max_length=50)
       description = models.CharField(max_length=255)
       address = models.CharField(max_length=50)
       price = models.DecimalField(max_digits=10, decimal_places=2)
   
       def __str__(self):
           return self.title
   

5. Em lofts/serializers.py, informar serializadores:

   
   from rest_framework import serializers
   from .models import Loft
   
   class LoftSerializer(serializers.ModelSerializer):
       class Meta:
           model = Loft
           fields = '__all__'
   

6. Em lofts/views.py, informar ViewSet de loft:

   
   from rest_framework import viewsets
   from .models import Loft
   from .serializers import LoftSerializer
   
   class LoftViewSet(viewsets.ModelViewSet):
       queryset = Loft.objects.all()
       serializer_class = LoftSerializer
   

7. Em lofts/urls.py, informar rotas locais:

   
   from rest_framework.routers import DefaultRouter
   from .views import LoftViewSet
   
   router = DefaultRouter()
   router.register(r'lofts', LoftViewSet, basename='loft')
   
   urlpatterns = router.urls
   

8. Em loft_api/urls.py, informar rotas globais:

   
   from django.contrib import admin
   from django.urls import path, include
   
   urlpatterns = [
       path('admin/', admin.site.urls),
       path('api/', include('lofts.urls')),
   ]
   

9. Na pasta raíz do projeto, criar e executar banco de dados:
   • python manage.py makemigrations
   • python manage.py migrate
10. Executar projeto: python manage.py runserver 0.0.0.0:8000
    • GET http://localhost:8000/api/lofts/: Listar lofts
    • POST http://localhost:8000/api/lofts/: Adicionar loft
    • GET http://localhost:8000/api/lofts/{id}/: Visualizar loft específico
    • PUT http://localhost:8000/api/lofts/{id}/: Editar loft
    • DELETE http://localhost:8000/api/lofts/{id}/: Excluir loft