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Merge branch 'development' of bitbucket.org:enreda/back-latienda into development

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Sam
2021-03-25 10:16:32 +00:00
parent 6a2b32f00c 190f14f44d
commit 74b006264f
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 io
import datetime
import calendar
from dateutil.relativedelta import relativedelta
from django.shortcuts import render
from django.http import HttpResponse
@@ -217,28 +219,45 @@ def admin_stats(request):
today = datetime.date.today()
# companies timeline: count companies at increments of 4 weeks
companies_timeline = {}
companies_timeline = []
# products timeline: count products at increments of 4 weeks
products_timeline = {}
products_timeline = []
# 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 = {}
contact_timeline = []
# shopping timeline: count statlogs from shopping at increments of 4 weeks
shopping_timeline = {}
for i in range(1, 13):
before = today - datetime.timedelta(weeks=( (i-1) * 4 ))
after = today - datetime.timedelta(weeks=(i*4))
shopping_timeline = []
for i in reversed(range(12)):
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_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_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_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_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_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 = {
'company_count': company_count,