[Django]-How to cache Django Rest Framework API calls?

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59👍

✅

Ok, so, in order to use caching for your queryset:

class ProductListAPIView(generics.ListAPIView):
    def get_queryset(self):
        return get_myobj()
    serializer_class = ProductSerializer

You’d probably want to set a timeout on the cache set though (like 60 seconds):

cache.set(cache_key, result, 60)

If you want to cache the whole view:

from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page

class ProductListAPIView(generics.ListAPIView):
    serializer_class = ProductSerializer

    @method_decorator(cache_page(60))
    def dispatch(self, *args, **kwargs):
        return super(ProductListAPIView, self).dispatch(*args, **kwargs)
👤Linovia

3👍

I just implemented this to use on my serializers

def cache_me(cache):
    def true_decorator(f):
        @wraps(f)
        def wrapper(*args, **kwargs):
            instance = args[1]
            cache_key = '%s.%s' % (instance.facility, instance.id)
            logger.debug('%s cache_key: %s' % (cache, cache_key))
            try:
                data = caches[cache].get(cache_key)
                if data is not None:
                    return data
            except:
                pass
            logger.info('did not cache')
            data = f(*args, **kwargs)
            try:
                caches[cache].set(cache_key, data)
            except:
                pass
            return data
        return wrapper
    return true_decorator

then i override the to_representation method on my serializers, so it caches the serialized output per instance.

class MyModelSerializer(serializers.ModelSerializer):

    class Meta:
        model = MyModel
        exclude = ('is_deleted', 'facility',)

    @cache_me('mymodel')
    def to_representation(self, instance):
       return super(MyModelSerializer, self).to_representation(instance)
👤Marco Silva

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