[Refactor] Fjern ZipCodeRegion

[Rotendahl]

Hvad skal refactors og hvorfor?
Lige nu bygger bruger vi vores egen mapping mellem en adresses postnummer og region.
Eftersom at vi har et region felt på afdelinger kan vi ligeså godt bare bruge det og slette zipcode region så vi ikke skal have en liste af (postnumre, region) for hele danmark i tabellen.

Det kræver at vi omskriver denne del af koden

forenings_medlemmer/members/models/statistics/old_stat_code.py

Lines 165 to 236 in 8d117d1

	# generate daily region statistics
	regions = ("DK01", "DK02", "DK03", "DK04", "DK05")
	for region in regions:
	dailyStatisticsRegion = DailyStatisticsRegion()
	zipsInRegion = ZipcodeRegion.objects.filter(region=region).values_list(
	"zipcode", flat=True
	) # There are no easy foreing key to identify region
	dailyStatisticsRegion.timestamp = timestamp
	dailyStatisticsRegion.region = region
	# No unions - since unions may span regions
	dailyStatisticsRegion.departments = (
	Department.objects.annotate()
	.filter(address__zipcode__in=zipsInRegion)
	.count()
	)
	dailyStatisticsRegion.active_activities = Activity.objects.filter(
	department__address__zipcode__in=zipsInRegion,
	start_date__lte=timestamp,
	end_date__gte=timestamp,
	).count()
	dailyStatisticsRegion.activities = Activity.objects.filter(
	department__address__zipcode__in=zipsInRegion
	).count()
	dailyStatisticsRegion.current_activity_participants = (
	Person.objects.filter(
	member__activityparticipant__activity__start_date__lte=timestamp,
	member__activityparticipant__activity__end_date__gte=timestamp,
	member__activityparticipant__activity__department__address__zipcode__in=zipsInRegion,
	)
	.distinct()
	.count()
	)
	dailyStatisticsRegion.activity_participants = ActivityParticipant.objects.filter(
	activity__department__address__zipcode__in=zipsInRegion
	).count()
	dailyStatisticsRegion.members = 0 # TODO: to loosely defined now
	dailyStatisticsRegion.waitinglist = (
	Person.objects.filter(
	waitinglist__department__address__zipcode__in=zipsInRegion
	)
	.distinct()
	.count()
	)
	dailyStatisticsRegion.payments = Payment.objects.filter(
	activity__department__address__zipcode__in=zipsInRegion,
	refunded_dtm=None,
	confirmed_dtm__isnull=False,
	).aggregate(sum=Coalesce(Sum("amount_ore"), 0))["sum"]
	dailyStatisticsRegion.volunteers_male = (
	Person.objects.filter(
	volunteer__department__address__zipcode__in=zipsInRegion,
	gender=Person.MALE,
	)
	.distinct()
	.count()
	)
	dailyStatisticsRegion.volunteers_female = (
	Person.objects.filter(
	volunteer__department__address__zipcode__in=zipsInRegion,
	gender=Person.FEMALE,
	)
	.distinct()
	.count()
	)
	dailyStatisticsRegion.volunteers = (
	dailyStatisticsRegion.volunteers_male
	+ dailyStatisticsRegion.volunteers_female
	)
	dailyStatisticsRegion.save()

Så den er i stil med https://github.com/CodingPirates/forenings_medlemmer/blob/master/members/models/statistics/department_statistic.py
Så kan vi også få skrevet tests i samme omgang.

[rasmusselsmark]

Afhænger af #874