Skip to main content
Production-grade Django architecture patterns for scalable, maintainable applications.

When to Activate

  • Building Django web applications
  • Designing Django REST Framework APIs
  • Working with Django ORM and models
  • Setting up Django project structure
  • Implementing caching, signals, middleware

Project Structure

myproject/
├── config/
│   ├── settings/
│   │   ├── base.py          # Base settings
│   │   ├── development.py   # Dev settings
│   │   ├── production.py    # Production settings
│   │   └── test.py          # Test settings
│   ├── urls.py
│   ├── wsgi.py
│   └── asgi.py
├── manage.py
└── apps/
    ├── users/
    │   ├── models.py
    │   ├── views.py
    │   ├── serializers.py
    │   ├── urls.py
    │   ├── permissions.py
    │   ├── services.py
    │   └── tests/
    └── products/

Model Design

from django.db import models
from django.core.validators import MinValueValidator

class Product(models.Model):
    """Product model with proper field configuration."""
    name = models.CharField(max_length=200)
    slug = models.SlugField(unique=True, max_length=250)
    description = models.TextField(blank=True)
    price = models.DecimalField(
        max_digits=10,
        decimal_places=2,
        validators=[MinValueValidator(0)]
    )
    stock = models.PositiveIntegerField(default=0)
    is_active = models.BooleanField(default=True)
    category = models.ForeignKey(
        'Category',
        on_delete=models.CASCADE,
        related_name='products'
    )
    tags = models.ManyToManyField('Tag', blank=True, related_name='products')
    created_at = models.DateTimeField(auto_now_add=True)
    updated_at = models.DateTimeField(auto_now=True)

    class Meta:
        db_table = 'products'
        ordering = ['-created_at']
        indexes = [
            models.Index(fields=['slug']),
            models.Index(fields=['-created_at']),
            models.Index(fields=['category', 'is_active']),
        ]
        constraints = [
            models.CheckConstraint(
                check=models.Q(price__gte=0),
                name='price_non_negative'
            )
        ]

    def __str__(self):
        return self.name

    def save(self, *args, **kwargs):
        if not self.slug:
            self.slug = slugify(self.name)
        super().save(*args, **kwargs)

QuerySet Best Practices

from django.db import models

class ProductQuerySet(models.QuerySet):
    """Custom QuerySet for Product model."""

    def active(self):
        """Return only active products."""
        return self.filter(is_active=True)

    def with_category(self):
        """Select related category to avoid N+1 queries."""
        return self.select_related('category')

    def with_tags(self):
        """Prefetch tags for many-to-many relationship."""
        return self.prefetch_related('tags')

    def in_stock(self):
        """Return products with stock > 0."""
        return self.filter(stock__gt=0)

    def search(self, query):
        """Search products by name or description."""
        return self.filter(
            models.Q(name__icontains=query) |
            models.Q(description__icontains=query)
        )

class Product(models.Model):
    # ... fields ...

    objects = ProductQuerySet.as_manager()  # Use custom QuerySet

# Usage
Product.objects.active().with_category().in_stock()

Django REST Framework

Serializer Patterns

from rest_framework import serializers
from .models import Product

class ProductSerializer(serializers.ModelSerializer):
    """Serializer for Product model."""

    category_name = serializers.CharField(source='category.name', read_only=True)
    average_rating = serializers.FloatField(read_only=True)
    discount_price = serializers.SerializerMethodField()

    class Meta:
        model = Product
        fields = [
            'id', 'name', 'slug', 'description', 'price',
            'discount_price', 'stock', 'category_name',
            'average_rating', 'created_at'
        ]
        read_only_fields = ['id', 'slug', 'created_at']

    def get_discount_price(self, obj):
        """Calculate discount price if applicable."""
        if hasattr(obj, 'discount') and obj.discount:
            return obj.price * (1 - obj.discount.percent / 100)
        return obj.price

    def validate_price(self, value):
        """Ensure price is non-negative."""
        if value < 0:
            raise serializers.ValidationError("Price cannot be negative.")
        return value

ViewSet Patterns

from rest_framework import viewsets, status, filters
from rest_framework.decorators import action
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from django_filters.rest_framework import DjangoFilterBackend

class ProductViewSet(viewsets.ModelViewSet):
    """ViewSet for Product model."""

    queryset = Product.objects.select_related('category').prefetch_related('tags')
    permission_classes = [IsAuthenticated]
    filter_backends = [DjangoFilterBackend, filters.SearchFilter, filters.OrderingFilter]
    search_fields = ['name', 'description']
    ordering_fields = ['price', 'created_at', 'name']
    ordering = ['-created_at']

    def get_serializer_class(self):
        """Return appropriate serializer based on action."""
        if self.action == 'create':
            return ProductCreateSerializer
        return ProductSerializer

    def perform_create(self, serializer):
        """Save with user context."""
        serializer.save(created_by=self.request.user)

    @action(detail=False, methods=['get'])
    def featured(self, request):
        """Return featured products."""
        featured = self.queryset.filter(is_featured=True)[:10]
        serializer = self.get_serializer(featured, many=True)
        return Response(serializer.data)

    @action(detail=True, methods=['post'])
    def purchase(self, request, pk=None):
        """Purchase a product."""
        product = self.get_object()
        service = ProductService()
        result = service.purchase(product, request.user)
        return Response(result, status=status.HTTP_201_CREATED)

Service Layer Pattern

from typing import Optional
from django.db import transaction
from .models import Order, OrderItem

class OrderService:
    """Service layer for order-related business logic."""

    @staticmethod
    @transaction.atomic
    def create_order(user, cart: Cart) -> Order:
        """Create order from cart."""
        order = Order.objects.create(
            user=user,
            total_price=cart.total_price
        )

        for item in cart.items.all():
            OrderItem.objects.create(
                order=order,
                product=item.product,
                quantity=item.quantity,
                price=item.product.price
            )

        # Clear cart
        cart.items.all().delete()

        return order

    @staticmethod
    def process_payment(order: Order, payment_data: dict) -> bool:
        """Process payment for order."""
        # Integration with payment gateway
        payment = PaymentGateway.charge(
            amount=order.total_price,
            token=payment_data['token']
        )

        if payment.success:
            order.status = Order.Status.PAID
            order.save()
            # Send confirmation email
            OrderService.send_confirmation_email(order)
            return True

        return False

Caching Strategies

Low-Level Caching

from django.core.cache import cache

def get_featured_products():
    """Get featured products with caching."""
    cache_key = 'featured_products'
    products = cache.get(cache_key)

    if products is None:
        products = list(Product.objects.filter(is_featured=True))
        cache.set(cache_key, products, timeout=60 * 15)  # 15 minutes

    return products

QuerySet Caching

from django.core.cache import cache
from django.db.models import Count

def get_popular_categories():
    cache_key = 'popular_categories'
    categories = cache.get(cache_key)

    if categories is None:
        categories = list(Category.objects.annotate(
            product_count=Count('products')
        ).filter(product_count__gt=10).order_by('-product_count')[:20])
        cache.set(cache_key, categories, timeout=60 * 60)  # 1 hour

    return categories

Performance Optimization

N+1 Query Prevention

# N+1 queries
products = Product.objects.all()
for product in products:
    print(product.category.name)  # Separate query for each product

Bulk Operations

# Bulk create
Product.objects.bulk_create([
    Product(name=f'Product {i}', price=10.00)
    for i in range(1000)
])

# Bulk update
products = Product.objects.all()[:100]
for product in products:
    product.is_active = True
Product.objects.bulk_update(products, ['is_active'])

# Bulk delete
Product.objects.filter(stock=0).delete()
Django provides many shortcuts, but for production applications, structure and organization matter more than concise code. Build for maintainability.