Plein de nettoyage partout
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2 changed files with 58 additions and 93 deletions
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@ -1,6 +1,5 @@
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from datetime import date, datetime, time, timedelta
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from dateutil.parser import parse as dateutil_parse
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from dateutil.relativedelta import relativedelta
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from django.utils import timezone
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@ -144,67 +143,24 @@ class MonthScale(Scale):
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return to_kfet_day(dt).replace(day=1)
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def scale_url_params(scales_def, **other_url_params):
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SCALE_CLASS_CHOICES = ((cls.name, cls.name) for cls in Scale.__subclasses__())
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SCALE_DICT = {cls.name: cls for cls in Scale.__subclasses__()}
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def scale_url_params(scales_def):
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"""
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Convertit une spécification de scales en arguments GET utilisables par ScaleMixin.
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La spécification est de la forme suivante :
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- scales_def : liste de champs de la forme (label, scale)
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- scales_def : liste de champs de la forme (label, scale, scale_args, default)
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- scale_args : arguments à passer à Scale.__init__
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- other_url_params : paramètres GET supplémentaires
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- default : le graphe à montrer par défaut
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"""
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params_list = []
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for label, cls, params, default in scales_def:
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url_params = {"scale_name": cls.name}
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url_params.update({"scale_" + key: value for key, value in params.items()})
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url_params.update(other_url_params)
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url_params = {"scale-name": cls.name}
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url_params.update({"scale-" + key: value for key, value in params.items()})
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params_list.append(dict(label=label, url_params=url_params, default=default))
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return params_list
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class ScaleMixin(object):
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def parse_scale_args(self):
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"""
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Récupère les paramètres de subdivision encodés dans une requête GET.
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"""
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scale_args = {}
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name = self.request.GET.get("scale_name", None)
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if name is not None:
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scale_args["name"] = name
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n_steps = self.request.GET.get("scale_n_steps", None)
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if n_steps is not None:
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scale_args["n_steps"] = int(n_steps)
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begin = self.request.GET.get("scale_begin", None)
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if begin is not None:
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scale_args["begin"] = dateutil_parse(begin)
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end = self.request.GET.get("scale_send", None)
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if end is not None:
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scale_args["end"] = dateutil_parse(end)
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last = self.request.GET.get("scale_last", None)
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if last is not None:
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scale_args["last"] = last in ["true", "True", "1"] and True or False
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return scale_args
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def get_context_data(self, *args, **kwargs):
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# On n'hérite pas
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scale_args = self.parse_scale_args()
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scale_name = scale_args.pop("name", None)
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scale_cls = Scale.by_name(scale_name)
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if scale_cls is None:
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self.scale = self.get_default_scale()
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else:
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self.scale = scale_cls(**scale_args)
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return {"labels": self.scale.get_labels()}
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def get_default_scale(self):
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return DayScale(n_steps=7, last=True)
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@ -1,4 +1,3 @@
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import ast
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import heapq
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import statistics
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from collections import defaultdict
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@ -12,6 +11,7 @@ from django.contrib.auth.decorators import login_required, permission_required
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from django.contrib.auth.mixins import PermissionRequiredMixin
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from django.contrib.auth.models import Permission, User
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from django.contrib.messages.views import SuccessMessageMixin
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from django.core.exceptions import SuspiciousOperation
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from django.db import transaction
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from django.db.models import Count, F, Prefetch, Q, Sum
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from django.forms import formset_factory
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@ -36,6 +36,7 @@ from kfet.forms import (
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AccountNoTriForm,
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AccountPwdForm,
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AccountRestrictForm,
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AccountStatForm,
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AccountTriForm,
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AddcostForm,
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ArticleForm,
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@ -55,6 +56,7 @@ from kfet.forms import (
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KPsulOperationGroupForm,
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OrderArticleForm,
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OrderArticleToInventoryForm,
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StatScaleForm,
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TransferFormSet,
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UserForm,
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UserGroupForm,
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@ -78,7 +80,7 @@ from kfet.models import (
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Transfer,
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TransferGroup,
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)
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from kfet.statistic import DayScale, MonthScale, ScaleMixin, WeekScale, scale_url_params
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from kfet.statistic import SCALE_DICT, DayScale, MonthScale, WeekScale, scale_url_params
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from shared.views import AutocompleteView
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from .auth import KFET_GENERIC_TRIGRAMME
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@ -2295,6 +2297,26 @@ class UserAccountMixin:
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return obj
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class ScaleMixin(object):
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"""Mixin pour utiliser les outils de `kfet.statistic`."""
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def get_context_data(self, *args, **kwargs):
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# On n'hérite pas
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form = StatScaleForm(self.request.GET, prefix="scale")
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if not form.is_valid():
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raise SuspiciousOperation(
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"Invalid StatScaleForm. Did someone tamper with the GET parameters ?"
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)
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scale_name = form.cleaned_data.pop("name")
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scale_cls = SCALE_DICT.get(scale_name)
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self.scale = scale_cls(**form.cleaned_data)
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return {"labels": self.scale.get_labels()}
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# -----------------------
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# Evolution Balance perso
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# -----------------------
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@ -2407,16 +2429,15 @@ class AccountStatBalance(UserAccountMixin, JSONDetailView):
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def get_context_data(self, *args, **kwargs):
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context = {}
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last_days = self.request.GET.get("last_days", None)
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if last_days is not None:
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last_days = int(last_days)
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begin_date = self.request.GET.get("begin_date", None)
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end_date = self.request.GET.get("end_date", None)
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form = AccountStatForm(self.request.GET)
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changes = self.get_changes_list(
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last_days=last_days, begin_date=begin_date, end_date=end_date
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if not form.is_valid():
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raise SuspiciousOperation(
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"Invalid AccountStatForm. Did someone tamper with the GET parameters ?"
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)
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changes = self.get_changes_list(**form.cleaned_data)
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context["charts"] = [
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{"color": "rgb(200, 20, 60)", "label": "Balance", "values": changes}
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]
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@ -2470,28 +2491,16 @@ class AccountStatOperation(UserAccountMixin, ScaleMixin, JSONDetailView):
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slug_url_kwarg = "trigramme"
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slug_field = "trigramme"
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def get_operations(self, types=None):
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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 = (
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Operation.objects.filter(group__on_acc=self.object, canceled_at=None)
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.values("article_nb", "group__at")
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.order_by("group__at")
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)
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if types is not None:
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all_operations = all_operations.filter(type__in=types)
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return all_operations
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def get_context_data(self, *args, **kwargs):
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context = super().get_context_data(*args, **kwargs)
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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)
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operations = (
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Operation.objects.filter(
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type=Operation.PURCHASE, group__on_acc=self.object, canceled_at=None
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)
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.values("article_nb", "group__at")
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.order_by("group__at")
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)
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# On compte les opérations
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nb_ventes = self.scale.chunkify_qs(
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operations, field="group__at", aggregate=Sum("article_nb")
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@ -2508,7 +2517,7 @@ class AccountStatOperation(UserAccountMixin, ScaleMixin, JSONDetailView):
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# ------------------------
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# Article Satistiques Last
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# Article Statistiques Last
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# ------------------------
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@ -2563,16 +2572,16 @@ class ArticleStatSales(ScaleMixin, JSONDetailView):
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.values("group__at", "article_nb")
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.order_by("group__at")
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)
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liq_only = all_purchases.filter(group__on_acc__trigramme="LIQ")
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liq_exclude = all_purchases.exclude(group__on_acc__trigramme="LIQ")
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cof_accts = all_purchases.filter(group__on_acc__profile__is_cof=True)
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noncof_accts = all_purchases.exclude(group__on_acc__profile__is_cof=True)
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nb_liq = scale.chunkify_qs(
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liq_only, field="group__at", aggregate=Sum("article_nb")
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nb_cof = scale.chunkify_qs(
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cof_accts, field="group__at", aggregate=Sum("article_nb")
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)
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nb_accounts = scale.chunkify_qs(
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liq_exclude, field="group__at", aggregate=Sum("article_nb")
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nb_noncof = scale.chunkify_qs(
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noncof_accts, field="group__at", aggregate=Sum("article_nb")
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)
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nb_ventes = [n1 + n2 for n1, n2 in zip(nb_liq, nb_accounts)]
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nb_ventes = [n1 + n2 for n1, n2 in zip(nb_cof, nb_noncof)]
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context["charts"] = [
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{
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"label": "Toutes consommations",
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"values": nb_ventes,
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},
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{"color": "rgb(54, 162, 235)", "label": "LIQ", "values": nb_liq},
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{"color": "rgb(54, 162, 235)", "label": "LIQ", "values": nb_cof},
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{
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"color": "rgb(255, 205, 86)",
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"label": "Comptes K-Fêt",
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"values": nb_accounts,
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"values": nb_noncof,
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},
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]
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return context
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