kit-eco.social/consumocuidado-server
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This commit is contained in:
Diego Calvo
2021-03-23 13:47:20 +01:00
parent 79393320c1
commit 190f14f44d
1 changed files with 32 additions and 13 deletions
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45
core/views.py
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@@ -3,6 +3,8 @@ import logging
import json import json
import io import io
import datetime import datetime
import calendar
from dateutil.relativedelta import relativedelta
from django.shortcuts import render from django.shortcuts import render
from django.http import HttpResponse from django.http import HttpResponse
@@ -217,28 +219,45 @@ def admin_stats(request):
today = datetime.date.today() today = datetime.date.today()
# companies timeline: count companies at increments of 4 weeks # companies timeline: count companies at increments of 4 weeks
companies_timeline = {} companies_timeline = []
# products timeline: count products at increments of 4 weeks # products timeline: count products at increments of 4 weeks
products_timeline = {} products_timeline = []
# users timeline: count users at increments of 4 weeks # users timeline: count users at increments of 4 weeks
users_timeline = {} users_timeline = []
# contact timeline: count statlogs from contact at increments of 4 weeks # contact timeline: count statlogs from contact at increments of 4 weeks
contact_timeline = {} contact_timeline = []
# shopping timeline: count statlogs from shopping at increments of 4 weeks # shopping timeline: count statlogs from shopping at increments of 4 weeks
shopping_timeline = {} shopping_timeline = []
for i in range(1, 13):
before = today - datetime.timedelta(weeks=( (i-1) * 4 )) for i in reversed(range(12)):
after = today - datetime.timedelta(weeks=(i*4)) before = datetime.date(today.year, today.month, 1, ) - relativedelta(months=i)
after = datetime.date(today.year, today.month, 1) - relativedelta(months=i-1)
# companies # companies
companies_timeline[i] = Company.objects.filter(created__range= [after, before]).count() companies_timeline.append({
'month': before.month,
'value': Company.objects.filter(created__range=[before,after]).count()
})
# products # products
products_timeline[i] = Product.objects.filter(created__range= [after, before]).count() products_timeline.append({
'month': before.month,
'value': Product.objects.filter(created__range=[before,after]).count()
})
# users # users
users_timeline[i] = User.objects.filter(created__range= [after, before]).count() users_timeline.append({
'month': before.month,
'value': User.objects.filter(created__range=[before,after]).count()
})
# contact # contact
contact_timeline[i] = StatsLog.objects.filter(contact=True, created__range= [after, before]).count() contact_timeline.append({
'month': before.month,
'value': StatsLog.objects.filter(contact=True, created__range=[before,after]).count()
})
# shopping # shopping
shopping_timeline[i] = StatsLog.objects.filter(shop=True, created__range= [after, before]).count() shopping_timeline.append({
'month': before.month,
'value': StatsLog.objects.filter(shop=True, created__range=[before,after]).count()
})
data = { data = {
'company_count': company_count, 'company_count': company_count,