forked from DGNum/gestioCOF
Refactor Account Operations stats
K-Fêt - Statistics
New base class - StatScale
- create scale, given chunk size (timedelta), start and end times
- get labels of
- get start and end datetimes of chunks
DayStatScale: Scale whose chunks interval is 1 day
WeekStatScale: same with 1 week
MonthStatScale: same with 1 month
AccountStatOperationList: manifest of operations stats of an account
- renamed from AccountStatLastAll
- updated according to SingleResumeStat
AccountStatOperation:
- renamed from AccountStatLast
- remove scale logic with use of StatScale objects
- used scale is given by `scale` and `scale_args` GET params
- add filter on operations types with `types` GET param
AccountStatLast(Day,Week,Month) are deleted ("merged" in
AccountStatOperation)
This commit is contained in:
Aurélien Delobelle
parent
31261fd376
commit
f585247224
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@ -1,70 +1,117 @@
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# -*- coding: utf-8 -*-
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from dateutil.relativedelta import relativedelta
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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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def kfet_day(year, month, day, start_at=KFET_WAKES_UP_AT):
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return timezone.datetime(year, month, day, hour=start_at)
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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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def to_kfet_day(dt, start_at=KFET_WAKES_UP_AT):
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kfet_dt = kfet_day(year=dt.year, month=dt.month, day=dt.day)
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if dt.hour < start_at:
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kfet_dt -= timezone.timedelta(days=1)
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return kfet_dt
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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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class StatScale(object):
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name = None
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step = None
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def __init__(self, n_steps=0, begin=None, end=None,
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last=False, std_chunk=True):
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self.std_chunk = std_chunk
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if last:
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end = timezone.now()
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if begin is not None and n_steps != 0:
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self.begin = self.get_from(begin)
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self.end = self.do_step(self.begin, n_steps=n_steps)
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elif end is not None and n_steps != 0:
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self.end = self.get_from(end)
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self.begin = self.do_step(self.end, n_steps=-n_steps)
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elif begin is not None and end is not None:
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self.begin = self.get_from(begin)
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self.end = self.get_from(end)
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else:
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raise Exception('Two of these args must be specified: '
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'n_steps, begin, end; '
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'or use last and n_steps')
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self.datetimes = self.get_datetimes()
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@staticmethod
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def by_name(name):
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for cls in StatScale.__subclasses__():
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if cls.name == name:
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return cls
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raise Exception('scale %s not found' % name)
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def get_from(self, dt):
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return self.std_chunk and self.get_chunk_start(dt) or dt
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def __getitem__(self, i):
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return self.datetimes[i], self.datetimes[i+1]
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def __len__(self):
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return len(self.datetimes) - 1
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def do_step(self, dt, n_steps=1):
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return dt + self.step * n_steps
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def get_datetimes(self):
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datetimes = [self.begin]
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tmp = self.begin
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while tmp <= self.end:
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tmp = self.do_step(tmp)
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datetimes.append(tmp)
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return datetimes
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def get_labels(self, label_fmt=None):
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if label_fmt is None:
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label_fmt = self.label_fmt
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return [begin.strftime(label_fmt) for begin, end in self]
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@classmethod
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def get_chunk_start(cls, dt):
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dt_kfet = to_kfet_day(dt)
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start = dt_kfet - cls.offset_to_chunk_start(dt_kfet)
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return start
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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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class DayStatScale(StatScale):
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name = 'day'
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step = timezone.timedelta(days=1)
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label_fmt = '%A'
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@classmethod
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def get_chunk_start(cls, dt):
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return to_kfet_day(dt)
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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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class WeekStatScale(StatScale):
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name = 'week'
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step = timezone.timedelta(days=7)
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label_fmt = 'Semaine %W'
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@classmethod
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def offset_to_chunk_start(cls, dt):
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return timezone.timedelta(days=dt.weekday())
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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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class MonthStatScale(StatScale):
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name = 'month'
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step = relativedelta(months=1)
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label_fmt = '%B'
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@classmethod
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def get_chunk_start(cls, dt):
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return to_kfet_day(dt).replace(day=1)
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def this_first_month_day():
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18
kfet/urls.py
18
kfet/urls.py
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@ -69,18 +69,12 @@ urlpatterns = [
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name='kfet.account.negative'),
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# Account - Statistics
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url('^accounts/(?P<trigramme>.{3})/stat/last/$',
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views.AccountStatLastAll.as_view(),
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name = 'kfet.account.stat.last'),
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url('^accounts/(?P<trigramme>.{3})/stat/last/month/$',
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views.AccountStatLastMonth.as_view(),
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name = 'kfet.account.stat.last.month'),
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url('^accounts/(?P<trigramme>.{3})/stat/last/week/$',
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views.AccountStatLastWeek.as_view(),
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name = 'kfet.account.stat.last.week'),
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url('^accounts/(?P<trigramme>.{3})/stat/last/day/$',
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views.AccountStatLastDay.as_view(),
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name = 'kfet.account.stat.last.day'),
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url('^accounts/(?P<trigramme>.{3})/stat/operations/list$',
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views.AccountStatOperationList.as_view(),
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name='kfet.account.stat.operation.list'),
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url('^accounts/(?P<trigramme>.{3})/stat/operations$',
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views.AccountStatOperation.as_view(),
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name='kfet.account.stat.operation'),
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url(r'^accounts/(?P<trigramme>.{3})/stat/balance/list$',
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views.AccountStatBalanceList.as_view(),
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191
kfet/views.py
191
kfet/views.py
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@ -1,5 +1,6 @@
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# -*- coding: utf-8 -*-
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import ast
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from urllib.parse import urlencode
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from django.shortcuts import render, get_object_or_404, redirect
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@ -47,10 +48,10 @@ from decimal import Decimal
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import django_cas_ng
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import heapq
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import statistics
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from .statistic import daynames, monthnames, weeknames, \
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lastdays, lastweeks, lastmonths, \
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this_morning, this_monday_morning, this_first_month_day, \
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tot_ventes
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from kfet.statistic import DayStatScale, MonthStatScale, StatScale, WeekStatScale
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from .statistic import (
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this_morning, this_monday_morning, this_first_month_day, tot_ventes,
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)
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class Home(TemplateView):
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template_name = "kfet/home.html"
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@ -2282,138 +2283,128 @@ ID_PREFIX_ACC_LAST_MONTHS = "last_months_acc"
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# Un résumé de toutes les vues ArticleStatLast
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# NE REND PAS DE JSON
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class AccountStatLastAll(SingleResumeStat):
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class AccountStatOperationList(PkUrlMixin, SingleResumeStat):
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model = Account
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context_object_name = 'account'
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trigramme_url_kwarg = 'trigramme'
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pk_url_kwarg = 'trigramme'
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id_prefix = ID_PREFIX_ACC_LAST
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nb_stat = 3
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nb_default = 2
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stat_labels = ["Derniers mois", "Dernières semaines", "Derniers jours"]
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stat_urls = ['kfet.account.stat.last.month',
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'kfet.account.stat.last.week',
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'kfet.account.stat.last.day']
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stats = [
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{
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'label': 'Derniers mois',
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'url_params': dict(
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types=[Operation.PURCHASE],
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scale=MonthStatScale.name,
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scale_args=dict(
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last=True,
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n_steps=7,
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),
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),
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},
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{
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'label': 'Dernières semaines',
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'url_params': dict(
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types=[Operation.PURCHASE],
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last_days=49,
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scale=WeekStatScale.name,
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scale_args=dict(
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last=True,
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n_steps=7,
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),
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),
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},
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{
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'label': 'Derniers jours',
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'url_params': dict(
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types=[Operation.PURCHASE],
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last_days=7,
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scale=DayStatScale.name,
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scale_args=dict(
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last=True,
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n_steps=7,
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),
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),
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},
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]
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url_stat = 'kfet.account.stat.operation'
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def get_object(self, **kwargs):
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trigramme = self.kwargs.get(self.trigramme_url_kwarg)
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return get_object_or_404(Account, trigramme=trigramme)
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def get_object_url_kwargs(self, **kwargs):
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return {'trigramme': self.object.trigramme}
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def get_object(self, *args, **kwargs):
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obj = super().get_object(*args, **kwargs)
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if self.request.user != obj.user:
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raise PermissionDenied
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return obj
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@method_decorator(login_required)
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def dispatch(self, *args, **kwargs):
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return super(AccountStatLastAll, self).dispatch(*args, **kwargs)
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return super().dispatch(*args, **kwargs)
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class AccountStatLast(JSONDetailView):
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class AccountStatOperation(PkUrlMixin, JSONDetailView):
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"""
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Returns a JSON containing the evolution a the personnal
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consommation of a trigramme at the diffent dates specified
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"""
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model = Account
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trigramme_url_kwarg = 'trigramme'
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pk_url_kwarg = 'trigramme'
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context_object_name = 'account'
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end_date = timezone.now()
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id_prefix = ""
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# doit rendre un dictionnaire des dates
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# la première date correspond au début
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# la dernière date est la fin de la dernière plage
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def get_dates(self, **kwargs):
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return {}
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# doit rendre un dictionnaire des labels
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# le dernier label ne sera pas utilisé
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def get_labels(self, **kwargs):
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pass
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def get_object(self, **kwargs):
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trigramme = self.kwargs.get(self.trigramme_url_kwarg)
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return get_object_or_404(Account, trigramme=trigramme)
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def sort_operations(self, **kwargs):
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# On récupère les dates
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dates = self.get_dates()
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# On ajoute la date de fin
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extended_dates = dates.copy()
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extended_dates[len(dates)+1] = self.end_date
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def get_operations(self, types, scale):
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# On selectionne les opérations qui correspondent
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# à l'article en question et qui ne sont pas annulées
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# puis on choisi pour chaques intervalle les opérations
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# effectuées dans ces intervalles de temps
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all_operations = (Operation.objects
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.filter(type='purchase')
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.filter(type__in=types)
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.filter(group__on_acc=self.object)
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.filter(canceled_at=None)
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)
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operations = {}
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for i in dates:
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operations[i] = (all_operations
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.filter(group__at__gte=extended_dates[i])
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.filter(group__at__lte=extended_dates[i+1])
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)
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operations = []
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for begin, end in scale:
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operations.append(all_operations
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.filter(group__at__gte=begin,
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group__at__lte=end))
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return operations
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def get_context_data(self, **kwargs):
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context = {}
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nb_ventes = {}
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scale = self.request.GET.get('scale', None)
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if scale is None:
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scale = DayStatScale(n_steps=7, last=True)
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else:
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scale_cls = StatScale.by_name(scale)
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scale_args = self.request.GET.get('scale_args', '{}')
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scale = scale_cls(**ast.literal_eval(scale_args))
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print(scale.datetimes)
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types = self.request.GET.get('types', None)
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if types is not None:
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types = ast.literal_eval(types)
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operations = self.get_operations(types=types, scale=scale)
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# On récupère les labels des dates
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context['labels'] = self.get_labels().copy()
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context['labels'] = scale.get_labels()
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# On compte les opérations
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operations = self.sort_operations()
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for i in operations:
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nb_ventes[i] = tot_ventes(operations[i])
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context['charts'] = [ { "color": "rgb(255, 99, 132)",
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"label": "NB items achetés",
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"values": nb_ventes } ]
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nb_ventes = []
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for chunk in operations:
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nb_ventes.append(tot_ventes(chunk))
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context['labels'] = scale.get_labels()
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context['charts'] = [{"color": "rgb(255, 99, 132)",
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"label": "NB items achetés",
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"values": nb_ventes}]
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return context
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def get_object(self, *args, **kwargs):
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obj = super().get_object(*args, **kwargs)
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if self.request.user != obj.user:
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raise PermissionDenied
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return obj
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@method_decorator(login_required)
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def dispatch(self, *args, **kwargs):
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return super(AccountStatLast, self).dispatch(*args, **kwargs)
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# Rend les achats pour ce compte des 7 derniers jours
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# Aujourd'hui non compris
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class AccountStatLastDay(AccountStatLast):
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end_date = this_morning()
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id_prefix = ID_PREFIX_ACC_LAST_DAYS
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def get_dates(self, **kwargs):
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return lastdays(7)
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def get_labels(self, **kwargs):
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days = lastdays(7)
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return daynames(days)
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# Rend les achats de ce compte des 7 dernières semaines
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# La semaine en cours n'est pas comprise
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class AccountStatLastWeek(AccountStatLast):
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end_date = this_monday_morning()
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id_prefix = ID_PREFIX_ACC_LAST_WEEKS
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def get_dates(self, **kwargs):
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return lastweeks(7)
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def get_labels(self, **kwargs):
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weeks = lastweeks(7)
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return weeknames(weeks)
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# Rend les achats de ce compte des 7 derniers mois
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# Le mois en cours n'est pas compris
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class AccountStatLastMonth(AccountStatLast):
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end_date = this_monday_morning()
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id_prefix = ID_PREFIX_ACC_LAST_MONTHS
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def get_dates(self, **kwargs):
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return lastmonths(7)
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def get_labels(self, **kwargs):
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months = lastmonths(7)
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return monthnames(months)
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return super().dispatch(*args, **kwargs)
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# ------------------------
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