Communitygithub.com

patrones-django

Patrones de arquitectura Django, diseño de API REST con DRF, mejores prácticas de ORM, caching, señales, middleware y aplicaciones Django de nivel de producción. Útil al construir o revisar aplicaciones Django, APIs DRF, consultas ORM o caching.

¿Qué es patrones-django?

Este skill proporciona un conjunto completo de patrones y mejores prácticas para el desarrollo de aplicaciones Django de nivel de producción. Cubre desde la estructura del proyecto, diseño de modelos, optimización de consultas ORM hasta la creación de APIs REST con Django REST Framework (DRF). Incluye ejemplos detallados de código para configuraciones divididas de settings, patrones de serializadores, ViewSets, managers personalizados y una capa de servicios. Diseñado para desarrolladores que trabajan con Django, este skill es compatible con asistentes de IA como Claude Code, Cursor o Codex, y su implementación se basa en la documentación SKILL.md, ofreciendo fragmentos de código listos para implementar. Además, aborda temas como caching, señales, middleware y pruebas, asegurando aplicaciones escalables y mantenibles.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/django-patterns

Preguntar en tu IA favorita

Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

Patrones de Desarrollo Django

Patrones de arquitectura Django de nivel de producción para aplicaciones escalables y mantenibles.

Cuándo Activar

  • Construir aplicaciones web Django
  • Diseñar APIs Django REST Framework
  • Trabajar con ORM y modelos de Django
  • Configurar la estructura de proyectos Django
  • Implementar caching, señales, middleware

Estructura del Proyecto

Diseño Recomendado

myproject/
├── config/
│   ├── __init__.py
│   ├── settings/
│   │   ├── __init__.py
│   │   ├── base.py          # Configuración base
│   │   ├── development.py   # Configuración de desarrollo
│   │   ├── production.py    # Configuración de producción
│   │   └── test.py          # Configuración de pruebas
│   ├── urls.py
│   ├── wsgi.py
│   └── asgi.py
├── manage.py
└── apps/
    ├── __init__.py
    ├── users/
    │   ├── __init__.py
    │   ├── models.py
    │   ├── views.py
    │   ├── serializers.py
    │   ├── urls.py
    │   ├── permissions.py
    │   ├── filters.py
    │   ├── services.py
    │   └── tests/
    └── products/
        └── ...

Patrón de Configuraciones Divididas

# config/settings/base.py
from pathlib import Path

BASE_DIR = Path(__file__).resolve().parent.parent.parent

SECRET_KEY = env('DJANGO_SECRET_KEY')
DEBUG = False
ALLOWED_HOSTS = []

INSTALLED_APPS = [
    'django.contrib.admin',
    'django.contrib.auth',
    'django.contrib.contenttypes',
    'django.contrib.sessions',
    'django.contrib.messages',
    'django.contrib.staticfiles',
    'rest_framework',
    'rest_framework.authtoken',
    'corsheaders',
    # Apps locales
    'apps.users',
    'apps.products',
]

MIDDLEWARE = [
    'django.middleware.security.SecurityMiddleware',
    'whitenoise.middleware.WhiteNoiseMiddleware',
    'django.contrib.sessions.middleware.SessionMiddleware',
    'corsheaders.middleware.CorsMiddleware',
    'django.middleware.common.CommonMiddleware',
    'django.middleware.csrf.CsrfViewMiddleware',
    'django.contrib.auth.middleware.AuthenticationMiddleware',
    'django.contrib.messages.middleware.MessageMiddleware',
    'django.middleware.clickjacking.XFrameOptionsMiddleware',
]

ROOT_URLCONF = 'config.urls'
WSGI_APPLICATION = 'config.wsgi.application'

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'NAME': env('DB_NAME'),
        'USER': env('DB_USER'),
        'PASSWORD': env('DB_PASSWORD'),
        'HOST': env('DB_HOST'),
        'PORT': env('DB_PORT', default='5432'),
    }
}

# config/settings/development.py
from .base import *

DEBUG = True
ALLOWED_HOSTS = ['localhost', '127.0.0.1']

DATABASES['default']['NAME'] = 'myproject_dev'

INSTALLED_APPS += ['debug_toolbar']

MIDDLEWARE += ['debug_toolbar.middleware.DebugToolbarMiddleware']

EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'

# config/settings/production.py
from .base import *

DEBUG = False
ALLOWED_HOSTS = env.list('ALLOWED_HOSTS')
SECURE_SSL_REDIRECT = True
SESSION_COOKIE_SECURE = True
CSRF_COOKIE_SECURE = True
SECURE_HSTS_SECONDS = 31536000
SECURE_HSTS_INCLUDE_SUBDOMAINS = True
SECURE_HSTS_PRELOAD = True

# Logging
LOGGING = {
    'version': 1,
    'disable_existing_loggers': False,
    'handlers': {
        'file': {
            'level': 'WARNING',
            'class': 'logging.FileHandler',
            'filename': '/var/log/django/django.log',
        },
    },
    'loggers': {
        'django': {
            'handlers': ['file'],
            'level': 'WARNING',
            'propagate': True,
        },
    },
}

Patrones de Diseño de Modelos

Mejores Prácticas para Modelos

from django.db import models
from django.contrib.auth.models import AbstractUser
from django.core.validators import MinValueValidator, MaxValueValidator

class User(AbstractUser):
    """Modelo de usuario personalizado que extiende AbstractUser."""
    email = models.EmailField(unique=True)
    phone = models.CharField(max_length=20, blank=True)
    birth_date = models.DateField(null=True, blank=True)

    USERNAME_FIELD = 'email'
    REQUIRED_FIELDS = ['username']

    class Meta:
        db_table = 'users'
        verbose_name = 'usuario'
        verbose_name_plural = 'usuarios'
        ordering = ['-date_joined']

    def __str__(self):
        return self.email

    def get_full_name(self):
        return f"{self.first_name} {self.last_name}".strip()

class Product(models.Model):
    """Modelo de producto con configuración de campos adecuada."""
    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)

Mejores Prácticas para QuerySets

from django.db import models

class ProductQuerySet(models.QuerySet):
    """QuerySet personalizado para el modelo Product."""

    def active(self):
        """Devuelve solo los productos activos."""
        return self.filter(is_active=True)

    def with_category(self):
        """Selecciona la categoría relacionada para evitar consultas N+1."""
        return self.select_related('category')

    def with_tags(self):
        """Precarga las etiquetas para relaciones muchos a muchos."""
        return self.prefetch_related('tags')

    def in_stock(self):
        """Devuelve productos con stock > 0."""
        return self.filter(stock__gt=0)

    def search(self, query):
        """Busca productos por nombre o descripción."""
        return self.filter(
            models.Q(name__icontains=query) |
            models.Q(description__icontains=query)
        )

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

    objects = ProductQuerySet.as_manager()  # Usa QuerySet personalizado

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

Métodos del Manager

class ProductManager(models.Manager):
    """Manager personalizado para consultas complejas."""

    def get_or_none(self, **kwargs):
        """Devuelve el objeto o None en lugar de DoesNotExist."""
        try:
            return self.get(**kwargs)
        except self.model.DoesNotExist:
            return None

    def create_with_tags(self, name, price, tag_names):
        """Crea un producto con etiquetas asociadas."""
        product = self.create(name=name, price=price)
        tags = [Tag.objects.get_or_create(name=name)[0] for name in tag_names]
        product.tags.set(tags)
        return product

    def bulk_update_stock(self, product_ids, quantity):
        """Actualiza el stock de múltiples productos en lote."""
        return self.filter(id__in=product_ids).update(stock=quantity)

# En el modelo
class Product(models.Model):
    # ... campos ...
    custom = ProductManager()

Patrones de Django REST Framework

Patrones de Serializadores

from rest_framework import serializers
from django.contrib.auth.password_validation import validate_password
from .models import Product, User

class ProductSerializer(serializers.ModelSerializer):
    """Serializador para el modelo Product."""

    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):
        """Calcula el precio con descuento si aplica."""
        if hasattr(obj, 'discount') and obj.discount:
            return obj.price * (1 - obj.discount.percent / 100)
        return obj.price

    def validate_price(self, value):
        """Asegura que el precio no sea negativo."""
        if value < 0:
            raise serializers.ValidationError("El precio no puede ser negativo.")
        return value

class ProductCreateSerializer(serializers.ModelSerializer):
    """Serializador para crear productos."""

    class Meta:
        model = Product
        fields = ['name', 'description', 'price', 'stock', 'category']

    def validate(self, data):
        """Validación personalizada para múltiples campos."""
        if data['price'] > 10000 and data['stock'] > 100:
            raise serializers.ValidationError(
                "No se pueden tener productos de alto valor con gran stock."
            )
        return data

class UserRegistrationSerializer(serializers.ModelSerializer):
    """Serializador para registro de usuarios."""

    password = serializers.CharField(
        write_only=True,
        required=True,
        validators=[validate_password],
        style={'input_type': 'password'}
    )
    password_confirm = serializers.CharField(write_only=True, style={'input_type': 'password'})

    class Meta:
        model = User
        fields = ['email', 'username', 'password', 'password_confirm']

    def validate(self, data):
        """Valida que las contraseñas coincidan."""
        if data['password'] != data['password_confirm']:
            raise serializers.ValidationError({
                "password_confirm": "Los campos de contraseña no coinciden."
            })
        return data

    def create(self, validated_data):
        """Crea un usuario con contraseña hasheada."""
        validated_data.pop('password_confirm')
        password = validated_data.pop('password')
        user = User.objects.create(**validated_data)
        user.set_password(password)
        user.save()
        return user

Patrones de ViewSets

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, IsAdminUser
from django_filters.rest_framework import DjangoFilterBackend
from .models import Product
from .serializers import ProductSerializer, ProductCreateSerializer
from .permissions import IsOwnerOrReadOnly
from .filters import ProductFilter
from .services import ProductService

class ProductViewSet(viewsets.ModelViewSet):
    """ViewSet para el modelo Product."""

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

    def get_serializer_class(self):
        """Devuelve el serializador adecuado según la acción."""
        if self.action == 'create':
            return ProductCreateSerializer
        return ProductSerializer

    def perform_create(self, serializer):
        """Guarda con el contexto del usuario."""
        serializer.save(created_by=self.request.user)

    @action(detail=False, methods=['get'])
    def featured(self, request):
        """Devuelve productos destacados."""
        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):
        """Compra un producto."""
        product = self.get_object()
        service = ProductService()
        result = service.purchase(product, request.user)
        return Response(result, status=status.HTTP_201_CREATED)

    @action(detail=False, methods=['get'], permission_classes=[IsAuthenticated])
    def my_products(self, request):
        """Devuelve los productos creados por el usuario actual."""
        products = self.queryset.filter(created_by=request.user)
        page = self.paginate_queryset(products)
        serializer = self.get_serializer(page, many=True)
        return self.get_paginated_response(serializer.data)

Acciones Personalizadas

from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.response import Response

@api_view(['POST'])
@permission_classes([IsAuthenticated])
def add_to_cart(request):
    """Añade un producto al carrito del usuario."""
    product_id = request.data.get('product_id')
    quantity = request.data.get('quantity', 1)

    try:
        product = Product.objects.get(id=product_id)
    except Product.DoesNotExist:
        return Response(
            {'error': 'Producto no encontrado'},
            status=status.HTTP_404_NOT_FOUND
        )

    cart, _ = Cart.objects.get_or_create(user=request.user)
    CartItem.objects.create(
        cart=cart,
        product=product,
        quantity=quantity
    )

    return Response({'message': 'Añadido al carrito'}, status=status.HTTP_201_CREATED)

Patrón de Capa de Servicios

# apps/orders/services.py
from typing import Optional
from django.db import transaction
from .models import Order, OrderItem

class OrderService:
    """Capa de servicios para la lógica de negocio relacionada con pedidos."""

    @staticmethod
    @transaction.atomic
    def create_order(user, items):
        """Crea un pedido con sus elementos de manera atómica."""
        order = Order.objects.create(user=user)
        for item in items:
            OrderItem.objects.create(
                order=order,
                product=item['product'],
                quantity=item['quantity'],
                price=item['product'].price
            )
        return order

    @staticmethod
    def get_order_history(user):
        """Obtiene el historial de pedidos de un usuario."""
        return Order.objects.filter(user=user).select_related('items__product').order_by('-created_at')

Caching

Caching de Consultas

from django.core.cache import cache
from .models import Product

def get_active_products():
    """Cachea la lista de productos activos."""
    cache_key = 'active_products'
    products = cache.get(cache_key)
    if not products:
        products = Product.objects.active().with_category()
        cache.set(cache_key, products, 3600)  # Cachea por 1 hora
    return products

def invalidate_product_cache(product_id):
    """Invalida el caché cuando un producto se actualiza."""
    cache.delete('active_products')
    cache.delete(f'product_{product_id}')

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

    def save(self, *args, **kwargs):
        super().save(*args, **kwargs)
        invalidate_product_cache(self.id)

Caching de Vistas

from django.views.decorators.cache import cache_page
from django.utils.decorators import method_decorator
from rest_framework.response import Response

class CachedProductViewSet(viewsets.ReadOnlyModelViewSet):
    """ViewSet de solo lectura con caching de respuestas."""

    @method_decorator(cache_page(60 * 15))  # Cachea por 15 minutos
    def dispatch(self, request, *args, **kwargs):
        return super().dispatch(request, *args, **kwargs)

    def list(self, request):
        # La respuesta se cachea automáticamente
        return super().list(request)

Señales

Señales de Modelo

from django.db.models.signals import post_save, pre_save
from django.dispatch import receiver

@receiver(post_save, sender=Product)
def update_product_search_index(sender, instance, created, **kwargs):
    """Actualiza el índice de búsqueda cuando se guarda un producto."""
    if created:
        # Agrega al índice de búsqueda
        update_search_index.delay(instance.id)
    else:
        # Actualiza el índice de búsqueda
        update_search_index.delay(instance.id)

@receiver(pre_save, sender=User)
def lowercase_email(sender, instance, **kwargs):
    """Convierte el email a minúsculas antes de guardar."""
    if instance.email:
        instance.email = instance.email.lower()

Middleware

Middleware Personalizado

# apps/core/middleware.py
from django.utils import timezone
from django.shortcuts import redirect

class UserActivityMiddleware:
    """Registra la actividad del usuario en cada solicitud."""

    def __init__(self, get_response):
        self.get_response = get_response

    def __call__(self, request):
        if request.user.is_authenticated:
            request.user.last_activity = timezone.now()
            request.user.save(update_fields=['last_activity'])
        response = self.get_response(request)
        return response

class MaintenanceModeMiddleware:
    """Redirige a una página de mantenimiento si está activo."""

    def __init__(self, get_response):
        self.get_response = get_response

    def __call__(self, request):
        if settings.MAINTENANCE_MODE and not request.user.is_staff:
            return redirect('maintenance')
        return self.get_response(request)

Pruebas

Pruebas de Modelos

from django.test import TestCase
from .models import Product, Category

class ProductModelTest(TestCase):
    """Pruebas para el modelo Product."""

    def setUp(self):
        self.category = Category.objects.create(name='Electrónica', slug='electronics')
        self.product = Product.objects.create(
            name='Laptop Gamer',
            price=1200.00,
            stock=10,
            category=self.category
        )

    def test_product_creation(self):
        """Prueba que un producto se crea correctamente."""
        self.assertEqual(self.product.name, 'Laptop Gamer')
        self.assertEqual(self.product.price, 1200.00)
        self.assertTrue(self.product.is_active)

    def test_string_representation(self):
        """Prueba la representación en cadena del producto."""
        self.assertEqual(str(self.product), 'Laptop Gamer')

Pruebas de API

from rest_framework.test import APITestCase
from django.contrib.auth import get_user_model
from .models import Product

class ProductAPITest(APITestCase):
    """Pruebas para la API de productos."""

    def setUp(self):
        self.user = get_user_model().objects.create_user(
            email='[email protected]',
            password='testpass123'
        )
        self.client.force_authenticate(user=self.user)

    def test_list_products(self):
        """Prueba que se pueden listar productos."""
        response = self.client.get('/api/products/')
        self.assertEqual(response.status_code, 200)

    def test_create_product(self):
        """Prueba que se puede crear un producto."""
        data = {
            'name': 'Nuevo Producto',
            'price': 50.00,
            'stock': 100,
            'category': self.category.id
        }
        response = self.client.post('/api/products/', data)
        self.assertEqual(response.status_code, 201)
        self.assertEqual(Product.objects.count(), 1)

Recursos Adicionales

Nota: Estos patrones están diseñados para proyectos Django medianos a grandes con Django REST Framework. Adáptalos según las necesidades específicas de tu proyecto.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

Skills relacionados