3

Is there a way to use something like Django's annotate method, but for a collection of existing model instances instead of a queryset?

Say I have a model like this (all irrelevant details removed):

class Node(Model):
    parent = ForeignKey('self', related_name='children')

If I were fetching some nodes and wanted the child count for each one, I could do this:

nodes = Node.objects.filter(some_filter=True).annotate(child_count=Count('children'))
for node in nodes:
    print(node.child_count)

But what if I already have a collection of Node objects, instead of a queryset? The naïve way of doing this suffers from the N+1 query problem, which is unacceptable for performance:

for node in nodes:
    print(node.children.count()) # executes a separate query for each instance

I essentially want the annotation equivalent of prefetch_related_objects. I'm picturing something like this:

nodes = list(Node.objects.filter(some_filter=True))
annotate_objects(nodes, child_count=Count('children'))
for node in nodes:
    print(node.child_count)

Is there anything like this built into Django? Digging through the docs has not been fruitful for me.

3 Answers 3

3

I ended up writing a helper function that implements the API I had imagined:

from collections import defaultdict

def annotate_objects(model_instances, *args, **kwargs):
    """
    The annotation equivalent of `prefetch_related_objects`: works just like the
    queryset `annotate` method, but operates on a sequence of model instances
    instead of a queryset.
    """

    if len(model_instances) == 0:
        return

    # Group instances by model class (since you can hypothetically pass
    # instances of different models).
    instances_by_model_class = defaultdict(list)
    for instance in model_instances:
        instances_by_model_class[type(instance)].append(instance)

    for Model, instances in instances_by_model_class.items():
        pks = set(instance.pk for instance in instances)
        queryset = Model.objects.filter(pk__in=pks).annotate(*args, **kwargs)
        annotation_keys = list(queryset.query.annotations.keys())
        all_annotations = queryset.values(*annotation_keys)
        for instance, annotations in zip(instances, all_annotations):
            for key, value in annotations.items():
                setattr(instance, key, value)

To use:

annotate_objects(nodes, child_count=Count('children'))
for node in nodes:
    print(node.child_count)
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Comments

3

There isn't anything really written into Django for this, unfortunately. The annotation is a specific feature of a queryset.

You may consider adding a @property on your Node model

class Node(Model):
    parent = ForeignKey('self', related_name='children')

    @property
    def child_count(self)
        return ... #Some logic to return the desired count

Or a workaround I have used before is to just get a queryset from the list I have for example:

nodes = list(Node.objects.filter(some_filter=True)) # This would be your list from somewhere else
node_ids = [n.id for n in nodes]
node_qs = Node.objects.filter(id__in=node_ids).annotate(child_count=Count('children'))

2 Comments

Using a property is a deal-breaker because of the N+1 problem (it would execute a separate count query for every instance instead of a single query for all of them). The workaround is indeed what I do now, it's just overly tedious in some instances to not have that data available directly on the model instances like you would have with annotate. I was hoping Django would have a built-in solution for this, but I guess I could create a helper out of this workaround to achieve the same goal. Thanks!
I've had the same frustration many times. This is the easiest solution I've found. Maybe someone else has something better. Good Luck!
3

I came up with same workaround as the author, but generalized form.

Simply collect data by making separate queries to avoid N+1, and then assign values for model instances:

instances = Model.objects.filter(...).all()
for instance in instances:
    value = 'custom value'
    setattr(instance, 'new_attribute', value)

then you could simply call new attribute:

instance = instances[0]
print(instance.new_attribute)

outputs custom value.

Comments

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