In use: django 3.2.10, postgresql 13.4
I have next query set with aggregation function Count
queryset = Model.objects.all().aggregate(
trues=Count('id', filter=Q(criteria=True)),
falses=Count('id', filter=Q(criteria=False)),
)
What I want:
queryset = Model.objects.all().aggregate(
trues=Count('id', filter=Q(criteria=True)),
falses=Count('id', filter=Q(criteria=False)),
total=trues falses, <--------------THIS
)
How to do this?
CodePudding user response:
There is little thing you can do after aggregation, as it returns a python dict object.
I do understand your example here is not your real situation, as you can simply do
Model.objects.aggregate(
total = (Count('id', filter=Q(criteria=True))
Count('id', filter=Q(criteria=False)))
)
What I want to say is Django provides .values().annotate()
to achieve GROUP BY
clause as in sql language.
Take your example here
queryset = Model.objects.values('criteria').annotate(count=Count('id'))
queryset here is still a 'QuerySet' object, and you can further modify the queryset like
queryset = queryset.aggregate(
total=Sum('count')
)
Hopefully it helps.
CodePudding user response:
it seems you want the total number of false and true criteria so you can simply do as follow
queryset = Model.objects.all().filter(
Q(criteria=True) | Q(criteria=False)).count()
or you can use (not recommended except you want to show something in the middle)
from django.db.models import Avg, Case, Count, F, Max, Min, Prefetch, Q, Sum, When
query = Model.objects.annotate(trues=Count('id',filter=Q(criteria=True)),
falses=Count('id',filter=Q(criteria=False))).annotate(trues_false=F('trues') F('falses')).aggregate(total=Sum('trues_false'))