average spending per day - django model - django

Question

I have a model that looks something like that:
class Payment(TimeStampModel):
timestamp = models.DateTimeField(auto_now_add=True)
amount = models.FloatField()
creator = models.ForeignKey(to='Payer')
What is the correct way to calculate average spending per day?
I can aggregate by day, but then the days when a payer does not spend anything won't count, which is not correct
UPDATE:
So, let's say I have only two records in my db, one from March 1, and one from January 1. The average spending per day should be something
(Sum of all spendings) / (March 1 - January 1)
that is divided by 60
however this of course give me just an average spending per item, and number of days will give me 2:
for p in Payment.objects.all():
print(p.timestamp, p.amount)
p = Payment.objects.all().dates('timestamp','day').aggregate(Sum('amount'), Avg('amount'))
print(p
Output:
2019-03-05 17:33:06.490560+00:00 456.0
2019-01-05 17:33:06.476395+00:00 123.0
{'amount__sum': 579.0, 'amount__avg': 289.5}

Answer 1

You can aggregate min and max timestamp and the sum of amount:
from django.db.models import Min, Max, Sum
def average_spending_per_day():
aggregate = Payment.objects.aggregate(Min('timestamp'), Max('timestamp'), Sum('amount'))
min_datetime = aggregate.get('timestamp__min')
if min_datetime is not None:
min_date = min_datetime.date()
max_date = aggregate.get('timestamp__max').date()
total_amount = aggregate.get('amount__sum')
days = (max_date - min_date).days + 1
return total_amount / days
return 0
If there is a min_datetime then there is some data in the db table, and there is also max date and total amount, otherwise we return 0 or whatever you want.

Answer 2

It depends on your backend, but you want to divide the sum of amount by the difference in days between your max and min timestamp. In Postgres, you can simply subtract two dates to get the number of days between them. With MySQL there is a function called DateDiff that takes two dates and returns the number of days between them.
class Date(Func):
function = 'DATE'
class MySQLDateDiff(Func):
function = 'DATEDIFF'
def __init__(self, *expressions, **extra):
expressions = [Date(exp) for exp in expressions]
extra['output_field'] = extra.get('output_field', IntegerField())
super().__init__(*expressions, **extra)
class PgDateDiff(Func):
template = "%(expressions)s"
arg_joiner = ' - '
def __init__(self, *expressions, **extra):
expressions = [Date(exp) for exp in expressions]
extra['output_field'] = extra.get('output_field', IntegerField())
super().__init__(*expressions, **extra)
agg = {
avg_spend: ExpressionWrapper(
Sum('amount') / (PgDateDiff(Max('timestamp'), Min('timestamp')) + Value(1)),
output_field=DecimalField())
}
avg_spend = Payment.objects.aggregate(**agg)
That looks roughly right to me, of course, I haven't tested it. Of course, use MySQLDateDiff if that's your backend.