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