gestioCOF/kfet/statistic.py
2017-02-15 14:44:58 +01:00

102 lines
2.8 KiB
Python

# -*- coding: utf-8 -*-
from django.utils import timezone
from django.db.models import Sum
KFET_WAKES_UP_AT = 7
# donne le nom des jours d'une liste de dates
# dans un dico ordonné
def daynames(dates):
names = {}
for i in dates:
names[i] = dates[i].strftime("%A")
return names
# donne le nom des semaines une liste de dates
# dans un dico ordonné
def weeknames(dates):
names = {}
for i in dates:
names[i] = dates[i].strftime("Semaine %W")
return names
# donne le nom des mois d'une liste de dates
# dans un dico ordonné
def monthnames(dates):
names = {}
for i in dates:
names[i] = dates[i].strftime("%B")
return names
# rend les dates des nb derniers jours
# dans l'ordre chronologique
# aujourd'hui compris
# nb = 1 : rend hier
def lastdays(nb):
morning = this_morning()
days = {}
for i in range(1, nb+1):
days[i] = morning - timezone.timedelta(days=nb - i + 1)
return days
def lastweeks(nb):
monday_morning = this_monday_morning()
mondays = {}
for i in range(1, nb+1):
mondays[i] = monday_morning \
- timezone.timedelta(days=7*(nb - i + 1))
return mondays
def lastmonths(nb):
first_month_day = this_first_month_day()
first_days = {}
this_year = first_month_day.year
this_month = first_month_day.month
for i in range(1, nb+1):
month = ((this_month - 1 - (nb - i)) % 12) + 1
year = this_year + (nb - i) // 12
first_days[i] = timezone.datetime(year=year,
month=month,
day=1,
hour=KFET_WAKES_UP_AT)
return first_days
def this_first_month_day():
now = timezone.now()
first_day = timezone.datetime(year=now.year,
month=now.month,
day=1,
hour=KFET_WAKES_UP_AT)
return first_day
def this_monday_morning():
now = timezone.now()
monday = now - timezone.timedelta(days=now.isoweekday()-1)
monday_morning = timezone.datetime(year=monday.year,
month=monday.month,
day=monday.day,
hour=KFET_WAKES_UP_AT)
return monday_morning
def this_morning():
now = timezone.now()
morning = timezone.datetime(year=now.year,
month=now.month,
day=now.day,
hour=KFET_WAKES_UP_AT)
return morning
# Étant donné un queryset d'operations
# rend la somme des article_nb
def tot_ventes(queryset):
res = queryset.aggregate(Sum('article_nb'))['article_nb__sum']
return res and res or 0