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309 lines
9.0 KiB
Markdown
309 lines
9.0 KiB
Markdown
# Django REST API — CLAUDE.md de Projeto
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> Exemplo real para uma API Django REST Framework com PostgreSQL e Celery.
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> Copie para a raiz do seu projeto e customize para seu serviço.
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## Visão Geral do Projeto
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**Stack:** Python 3.12+, Django 5.x, Django REST Framework, PostgreSQL, Celery + Redis, pytest, Docker Compose
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**Arquitetura:** Design orientado a domínio com apps por domínio de negócio. DRF para camada de API, Celery para tarefas assíncronas, pytest para testes. Todos os endpoints retornam JSON — sem renderização de templates.
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## Regras Críticas
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### Convenções Python
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- Type hints em todas as assinaturas de função — use `from __future__ import annotations`
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- Sem `print()` statements — use `logging.getLogger(__name__)`
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- f-strings para formatação, nunca `%` ou `.format()`
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- Use `pathlib.Path` e não `os.path` para operações de arquivo
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- Imports ordenados com isort: stdlib, third-party, local (enforced by ruff)
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### Banco de Dados
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- Todas as queries usam Django ORM — SQL bruto só com `.raw()` e queries parametrizadas
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- Migrations versionadas no git — nunca use `--fake` em produção
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- Use `select_related()` e `prefetch_related()` para prevenir queries N+1
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- Todos os models devem ter auto-fields `created_at` e `updated_at`
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- Índices em qualquer campo usado em `filter()`, `order_by()` ou cláusulas `WHERE`
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```python
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# BAD: N+1 query
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orders = Order.objects.all()
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for order in orders:
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print(order.customer.name) # hits DB for each order
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# GOOD: Single query with join
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orders = Order.objects.select_related("customer").all()
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```
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### Autenticação
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- JWT via `djangorestframework-simplejwt` — access token (15 min) + refresh token (7 days)
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- Permission classes em toda view — nunca confiar no padrão
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- Use `IsAuthenticated` como base e adicione permissões customizadas para acesso por objeto
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- Token blacklisting habilitado para logout
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### Serializers
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- Use `ModelSerializer` para CRUD simples, `Serializer` para validação complexa
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- Separe serializers de leitura e escrita quando input/output diferirem
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- Valide no nível de serializer, não na view — views devem ser enxutas
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```python
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class CreateOrderSerializer(serializers.Serializer):
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product_id = serializers.UUIDField()
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quantity = serializers.IntegerField(min_value=1, max_value=100)
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def validate_product_id(self, value):
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if not Product.objects.filter(id=value, active=True).exists():
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raise serializers.ValidationError("Product not found or inactive")
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return value
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class OrderDetailSerializer(serializers.ModelSerializer):
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customer = CustomerSerializer(read_only=True)
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product = ProductSerializer(read_only=True)
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class Meta:
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model = Order
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fields = ["id", "customer", "product", "quantity", "total", "status", "created_at"]
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```
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### Tratamento de Erro
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- Use DRF exception handler para respostas de erro consistentes
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- Exceções customizadas de regra de negócio em `core/exceptions.py`
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- Nunca exponha detalhes internos de erro para clientes
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```python
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# core/exceptions.py
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from rest_framework.exceptions import APIException
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class InsufficientStockError(APIException):
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status_code = 409
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default_detail = "Insufficient stock for this order"
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default_code = "insufficient_stock"
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```
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### Estilo de Código
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- Sem emojis em código ou comentários
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- Tamanho máximo de linha: 120 caracteres (enforced by ruff)
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- Classes: PascalCase, funções/variáveis: snake_case, constantes: UPPER_SNAKE_CASE
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- Views enxutas — lógica de negócio em funções de serviço ou métodos do model
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## Estrutura de Arquivos
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```
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config/
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settings/
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base.py # Shared settings
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local.py # Dev overrides (DEBUG=True)
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production.py # Production settings
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urls.py # Root URL config
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celery.py # Celery app configuration
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apps/
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accounts/ # User auth, registration, profile
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models.py
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serializers.py
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views.py
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services.py # Business logic
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tests/
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test_views.py
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test_services.py
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factories.py # Factory Boy factories
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orders/ # Order management
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models.py
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serializers.py
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views.py
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services.py
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tasks.py # Celery tasks
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tests/
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products/ # Product catalog
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models.py
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serializers.py
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views.py
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tests/
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core/
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exceptions.py # Custom API exceptions
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permissions.py # Shared permission classes
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pagination.py # Custom pagination
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middleware.py # Request logging, timing
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tests/
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```
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## Padrões-Chave
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### Camada de Serviço
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```python
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# apps/orders/services.py
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from django.db import transaction
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def create_order(*, customer, product_id: uuid.UUID, quantity: int) -> Order:
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"""Create an order with stock validation and payment hold."""
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product = Product.objects.select_for_update().get(id=product_id)
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if product.stock < quantity:
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raise InsufficientStockError()
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with transaction.atomic():
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order = Order.objects.create(
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customer=customer,
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product=product,
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quantity=quantity,
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total=product.price * quantity,
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)
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product.stock -= quantity
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product.save(update_fields=["stock", "updated_at"])
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# Async: send confirmation email
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send_order_confirmation.delay(order.id)
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return order
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```
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### Padrão de View
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```python
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# apps/orders/views.py
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class OrderViewSet(viewsets.ModelViewSet):
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permission_classes = [IsAuthenticated]
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pagination_class = StandardPagination
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def get_serializer_class(self):
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if self.action == "create":
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return CreateOrderSerializer
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return OrderDetailSerializer
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def get_queryset(self):
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return (
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Order.objects
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.filter(customer=self.request.user)
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.select_related("product", "customer")
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.order_by("-created_at")
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)
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def perform_create(self, serializer):
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order = create_order(
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customer=self.request.user,
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product_id=serializer.validated_data["product_id"],
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quantity=serializer.validated_data["quantity"],
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)
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serializer.instance = order
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```
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### Padrão de Teste (pytest + Factory Boy)
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```python
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# apps/orders/tests/factories.py
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import factory
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from apps.accounts.tests.factories import UserFactory
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from apps.products.tests.factories import ProductFactory
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class OrderFactory(factory.django.DjangoModelFactory):
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class Meta:
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model = "orders.Order"
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customer = factory.SubFactory(UserFactory)
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product = factory.SubFactory(ProductFactory, stock=100)
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quantity = 1
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total = factory.LazyAttribute(lambda o: o.product.price * o.quantity)
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# apps/orders/tests/test_views.py
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import pytest
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from rest_framework.test import APIClient
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@pytest.mark.django_db
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class TestCreateOrder:
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def setup_method(self):
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self.client = APIClient()
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self.user = UserFactory()
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self.client.force_authenticate(self.user)
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def test_create_order_success(self):
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product = ProductFactory(price=29_99, stock=10)
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response = self.client.post("/api/orders/", {
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"product_id": str(product.id),
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"quantity": 2,
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})
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assert response.status_code == 201
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assert response.data["total"] == 59_98
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def test_create_order_insufficient_stock(self):
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product = ProductFactory(stock=0)
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response = self.client.post("/api/orders/", {
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"product_id": str(product.id),
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"quantity": 1,
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})
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assert response.status_code == 409
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def test_create_order_unauthenticated(self):
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self.client.force_authenticate(None)
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response = self.client.post("/api/orders/", {})
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assert response.status_code == 401
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```
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## Variáveis de Ambiente
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```bash
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# Django
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SECRET_KEY=
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DEBUG=False
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ALLOWED_HOSTS=api.example.com
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# Database
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DATABASE_URL=postgres://user:pass@localhost:5432/myapp
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# Redis (Celery broker + cache)
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REDIS_URL=redis://localhost:6379/0
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# JWT
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JWT_ACCESS_TOKEN_LIFETIME=15 # minutes
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JWT_REFRESH_TOKEN_LIFETIME=10080 # minutes (7 days)
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# Email
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EMAIL_BACKEND=django.core.mail.backends.smtp.EmailBackend
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EMAIL_HOST=smtp.example.com
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```
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## Estratégia de Teste
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```bash
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# Run all tests
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pytest --cov=apps --cov-report=term-missing
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# Run specific app tests
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pytest apps/orders/tests/ -v
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# Run with parallel execution
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pytest -n auto
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# Only failing tests from last run
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pytest --lf
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```
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## Workflow ECC
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```bash
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# Planning
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/plan "Add order refund system with Stripe integration"
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# Development with TDD
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/tdd # pytest-based TDD workflow
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# Review
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/python-review # Python-specific code review
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/security-scan # Django security audit
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/code-review # General quality check
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# Verification
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/verify # Build, lint, test, security scan
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```
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## Fluxo Git
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- `feat:` novas features, `fix:` correções de bug, `refactor:` mudanças de código
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- Branches de feature a partir da `main`, PRs obrigatórios
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- CI: ruff (lint + format), mypy (types), pytest (tests), safety (dep check)
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- Deploy: imagem Docker, gerenciada via Kubernetes ou Railway
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