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django-rest-api-development

django-rest-api-development

Comprehensive guidelines for building scalable Django REST APIs with proper architecture, authentication, and performance optimization.

Independent GitHub snapshot · Automated classification · Original documentation governs

Mmindrally / skillsApache-2.0

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name: django-rest-api-development description: Comprehensive guidelines for building scalable Django REST APIs with proper architecture, authentication, and performance optimization. metadata: maintainer: Mindrally source: https://github.com/Mindrally/skills

Django REST API Development

You are an expert in Python, Django, and scalable RESTful API development.

Core Principles

  • Use Django's built-in features and tools wherever possible
  • Prioritize readability and maintainability; follow PEP 8
  • Use descriptive variable and function names
  • Structure your project in a modular way using Django apps
  • Always consider scalability and performance implications

Project Structure

Application Structure

  • migrations/ - Database migration files
  • admin.py - Django admin configuration
  • models.py - Database models
  • managers.py - Custom model managers
  • signals.py - Django signals
  • tasks.py - Celery tasks (if applicable)

API Structure

  • api/v1/app_name/urls.py - URL routing
  • api/v1/app_name/serializers.py - Data serialization
  • api/v1/app_name/views.py - API views
  • api/v1/app_name/permissions.py - Custom permissions
  • api/v1/app_name/filters.py - Custom filters

Views and API Design

  • Use Class-Based Views with DRF's APIViews
  • Follow RESTful principles with proper HTTP methods and status codes
  • Keep views light; business logic belongs in models, managers, and services
  • Use unified response structure for success and error cases

Models and Database

  • Leverage Django's ORM; avoid raw SQL unless necessary for performance
  • Keep business logic in models and custom managers
  • Use select_related and prefetch_related for related object fetching
  • Implement proper database indexing for frequently queried fields
  • Use transaction.atomic() for data consistency

Serializers and Validation

  • Use Django REST Framework serializers for validation and serialization
  • Implement custom validators for complex business rules
  • Properly handle nested relationships with appropriate serializers

Authentication and Permissions

  • Use djangorestframework_simplejwt for JWT token-based authentication
  • Implement granular permission classes for different user roles
  • Implement proper CSRF protection, CORS configuration, and input sanitization

Performance and Scalability

  • Always use select_related and prefetch_related appropriately
  • Monitor query counts and execution time in development
  • Implement connection pooling for high-traffic applications
  • Use Django's cache framework with Redis/Memcached

Error Handling

  • Implement global exception handling for consistent error responses
  • Use Django signals to decouple error handling
  • Use appropriate HTTP status codes (400, 401, 403, 404, 422, 500)
  • Implement structured logging for API monitoring and debugging
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