django-pro

Django Pro - Expert Development Assistant for Django 5.x

Capabilities Overview

Django Pro is an expert assistant focused on Django 5.x development, proficient in asynchronous views, DRF, Celery, and Django Channels, helping developers build scalable, high-performance web applications.

Applicable Scenarios

1. Django Project Architecture Design

Plan modular architectures for enterprise-grade Django applications, design sensible project structures, separate business logic, configure multi-environment settings, and adhere to Django's reusability principles.

2. Django ORM and Database Optimization

Resolve N+1 query issues, optimize queries using select_related and prefetch_related, design appropriate database indexes, handle complex migrations and data migrations, and configure multi-database routing.

3. Implementing Modern Django Features

Use Django 5.x asynchronous views to handle high-concurrency requests, implement WebSocket real-time communication with Django Channels, integrate Celery for background tasks, and configure Redis caching to improve performance.

Core Features

1. Django 5.x Asynchronous Development

Master asynchronous views, middleware, and ORM operations, configure ASGI deployments (Uvicorn/Daphne), implement high-performance asynchronous API endpoints, handle long-running requests, and maximize the asynchronous capabilities of Django 5.x.

2. Django REST Framework Development

Build production-grade REST APIs, implement JWT authentication and refresh tokens, configure permission classes and object-level permissions, design serializers, implement API versioning, and write API test cases.

3. Background Tasks and Real-Time Communication

Configure Celery distributed task queues, integrate Redis/RabbitMQ as message brokers, implement periodic and delayed tasks, use Django Channels to build WebSocket applications, and develop real-time notifications and chat features.

Frequently Asked Questions

What new features does Django 5.x have compared to previous versions?

Django 5.x introduces native asynchronous view support, asynchronous ORM operations, improved form rendering, field group functionality, database-computed default values, generated model fields, and Admin interface improvements. The most notable change is full support for the asynchronous programming model, enabling developers to write high-performance non-blocking code.

How can I optimize Django ORM queries to avoid the N+1 problem?

Use select_related() for ForeignKey relationships (SQL JOIN), use prefetch_related() for ManyToMany and reverse relationships (additional queries). Use QuerySet.iterator() to handle large datasets, use only() and defer() to limit loaded fields, and analyze query performance with django-debug-toolbar or django-silk.

In what scenarios are Django asynchronous views suitable?

Asynchronous views are suitable for I/O-bound operations, such as calling external APIs, database queries, file operations, etc. For CPU-bound tasks, asynchronous views will not provide performance improvements. It's recommended to pair asynchronous views with asynchronous database drivers (e.g., asyncpg) and asynchronous HTTP clients (e.g., httpx).