drf-extensions

import os from django.db import models from rest_framework import views, serializers, status from rest_framework.response import Response from rest_framework_extensions.cache.decorators import cache_response # --- Minimal Django setup for demonstration (not for real project) --- os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'myproject.settings') import django if not django.apps.apps.ready: django.setup() # --- Models (if needed) --- class City(models.Model): name = models.CharField(max_length=100) population = models.IntegerField() class Meta: app_label = 'myapp' # Required for minimal setup def __str__(self): return self.name # --- Serializers (if needed) --- class CitySerializer(serializers.ModelSerializer): class Meta: model = City fields = '__all__' # --- View demonstrating caching --- class CityListView(views.APIView): @cache_response(timeout=60 * 15) # Cache for 15 minutes def get(self, request, *args, **kwargs): # In a real app, you'd fetch from DB: # cities = City.objects.all() # serializer = CitySerializer(cities, many=True) # For quickstart, simulate data: data = [ {"name": "New York", "population": 8000000}, {"name": "Los Angeles", "population": 4000000} ] return Response(data, status=status.HTTP_200_OK) # --- Example of running the view (simplified) --- # In a real Django/DRF project, this would be part of urls.py # and accessible via an HTTP request. # For demonstration, we can simulate calling the method: if __name__ == '__main__': # This part would typically be handled by Django's URL routing # and request/response cycle. # For direct execution, we're just showing the decorator effect conceptualy. print("Simulating API call with caching...") view = CityListView() # Simulate a request object minimally for the decorator class MockRequest: method = 'GET' path = '/cities/' query_params = {} # Add other attributes that might be accessed by key constructors if needed mock_request = MockRequest() response1 = view.get(mock_request) print(f"First call: {response1.data}") # A second call within the cache timeout period would ideally return cached data # (though simulating the actual cache hit without a full Django setup is complex). # The key takeaway is the decorator's placement. response2 = view.get(mock_request) print(f"Second call: {response2.data}")