Django REST Framework: How to implement custom authentication with JWT tokens?

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Aug 30, 2025 515 views 1 answers
21

I'm working on a Django project and encountering an issue with Django REST API. Here's my current implementation:


# models.py
# views.py
from django.shortcuts import render
from .models import Article

def article_list(request):
    articles = Article.objects.all()
    for article in articles:
        print(article.author.username)  # N+1 problem here
    return render(request, 'articles.html', {'articles': articles})

The specific error I'm getting is: "django.template.exceptions.TemplateDoesNotExist: articles/detail.html"

I've already tried the following approaches:

  • Checked Django documentation and Stack Overflow
  • Verified my database schema and migrations
  • Added debugging prints to trace the issue
  • Tested with different data inputs

Environment details:

  • Django version: 5.0.1
  • Python version: 3.11.0
  • Database: PostgreSQL 15
  • Operating system: macOS Ventura

Has anyone encountered this before? Any guidance would be greatly appreciated!

J
Asked by joseph
Bronze 60 rep

Comments

michael_code: Could you elaborate on the select_related vs prefetch_related usage? When should I use each? 1 week, 4 days ago

1 Answer

6

Python decorators with arguments require a three-level nested function. Here's the proper implementation:

import functools

# Decorator with arguments
def retry(max_attempts=3, delay=1):
    def decorator(func):
        @functools.wraps(func)  # Preserves function metadata
        def wrapper(*args, **kwargs):
            for attempt in range(max_attempts):
                try:
                    return func(*args, **kwargs)
                except Exception as e:
                    if attempt == max_attempts - 1:
                        raise e
                    time.sleep(delay)
        return wrapper
    return decorator

# Usage
@retry(max_attempts=5, delay=2)
def unreliable_function():
    # Function that might fail
    pass

Class-based decorator (alternative approach):

class Retry:
    def __init__(self, max_attempts=3, delay=1):
        self.max_attempts = max_attempts
        self.delay = delay
    
    def __call__(self, func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            for attempt in range(self.max_attempts):
                try:
                    return func(*args, **kwargs)
                except Exception as e:
                    if attempt == self.max_attempts - 1:
                        raise e
                    time.sleep(self.delay)
        return wrapper

# Usage
@Retry(max_attempts=5, delay=2)
def another_function():
    pass
L
Answered by lisa_data 1 week, 4 days ago
Bronze 50 rep

Comments

admin: Great Python profiling example! The cProfile output helped me identify the bottleneck in my data processing pipeline. 1 week, 4 days ago

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