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Merge branch 'Aufinal/simplify_stats' into 'master'

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Simplifie massivement les statistiques K-Fêt + étend la période de stats

Closes #257 and #244

See merge request klub-dev-ens/gestioCOF!411
This commit is contained in:
Martin Pepin 2020-05-08 12:41:18 +02:00
parent 4f15bb9624 c9136dbcfa
commit 5a9ea4234e
5 changed files with 284 additions and 399 deletions
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1
CHANGELOG.md
View file

@ -27,6 +27,7 @@ Liste des changements notables dans GestioCOF depuis la version 0.1 (septembre
- Les transferts apparaissent maintenant dans l'historique K-Fêt et l'historique
personnel.
- les statistiques K-Fêt remontent à plus d'un an (et le code est simplifié)
## Version 0.4.1 - 17/01/2020

110
kfet/static/kfet/js/statistic.js
View file

@ -1,28 +1,15 @@
(function($){
(function ($) {
window.StatsGroup = function (url, target) {
// a class to properly display statictics
// url : points to an ObjectResumeStat that lists the options through JSON
// target : element of the DOM where to put the stats
var self = this;
var element = $(target);
var content = $("<div class='full'>");
var buttons;
function dictToArray (dict, start) {
// converts the dicts returned by JSONResponse to Arrays
// necessary because for..in does not guarantee the order
if (start === undefined) start = 0;
var array = new Array();
for (var k in dict) {
array[k] = dict[k];
}
array.splice(0, start);
return array;
}
function handleTimeChart (data) {
function handleTimeChart(data) {
// reads the balance data and put it into chartjs formatting
chart_data = new Array();
for (var i = 0; i < data.length; i++) {
@ -36,7 +23,7 @@
return chart_data;
}
function showStats () {
function showStats() {
// CALLBACK : called when a button is selected
// shows the focus on the correct button
@ -44,24 +31,20 @@
$(this).addClass("focus");
// loads data and shows it
$.getJSON(this.stats_target_url, {format: 'json'}, displayStats);
$.getJSON(this.stats_target_url, displayStats);
}
function displayStats (data) {
function displayStats(data) {
// reads the json data and updates the chart display
var chart_datasets = [];
var charts = dictToArray(data.charts);
// are the points indexed by timestamps?
var is_time_chart = data.is_time_chart || false;
// reads the charts data
for (var i = 0; i < charts.length; i++) {
var chart = charts[i];
for (let chart of data.charts) {
// format the data
var chart_data = is_time_chart ? handleTimeChart(chart.values) : dictToArray(chart.values, 0);
var chart_data = is_time_chart ? handleTimeChart(chart.values) : chart.values;
chart_datasets.push(
{
@ -76,29 +59,24 @@
// options for chartjs
var chart_options =
{
responsive: true,
maintainAspectRatio: false,
tooltips: {
mode: 'index',
intersect: false,
},
hover: {
mode: 'nearest',
intersect: false,
}
};
{
responsive: true,
maintainAspectRatio: false,
tooltips: {
mode: 'index',
intersect: false,
},
hover: {
mode: 'nearest',
intersect: false,
}
};
// additionnal options for time-indexed charts
if (is_time_chart) {
chart_options['scales'] = {
xAxes: [{
type: "time",
display: true,
scaleLabel: {
display: false,
labelString: 'Date'
},
time: {
tooltipFormat: 'll HH:mm',
displayFormats: {
@ -115,26 +93,19 @@
}
}],
yAxes: [{
display: true,
scaleLabel: {
display: false,
labelString: 'value'
}
}]
};
}
// global object for the options
var chart_model =
{
type: 'line',
options: chart_options,
data: {
labels: data.labels || [],
datasets: chart_datasets,
}
};
{
type: 'line',
options: chart_options,
data: {
labels: data.labels || [],
datasets: chart_datasets,
}
};
// saves the previous charts to be destroyed
var prev_chart = content.children();
@ -151,27 +122,30 @@
}
// initialize the interface
function initialize (data) {
function initialize(data) {
// creates the bar with the buttons
buttons = $("<ul>",
{class: "nav stat-nav",
"aria-label": "select-period"});
{
class: "nav stat-nav",
"aria-label": "select-period"
});
var to_click;
var context = data.stats;
for (var i = 0; i < context.length; i++) {
for (let stat of data.stats) {
// creates the button
var btn_wrapper = $("<li>", {role:"presentation"});
var btn_wrapper = $("<li>", { role: "presentation" });
var btn = $("<a>",
{class: "btn btn-nav",
type: "button"})
.text(context[i].label)
.prop("stats_target_url", context[i].url)
{
class: "btn btn-nav",
type: "button"
})
.text(stat.label)
.prop("stats_target_url", stat.url)
.on("click", showStats);
// saves the default option to select
if (i == data.default_stat || i == 0)
if (stat.default)
to_click = btn;
// append the elements to the parent
@ -189,7 +163,7 @@
// constructor
(function () {
$.getJSON(url, {format: 'json'}, initialize);
$.getJSON(url, initialize);
})();
};
})(jQuery);

230
kfet/statistic.py
View file

@ -1,21 +1,22 @@
from datetime import date, datetime, time, timedelta
import pytz
from dateutil.parser import parse as dateutil_parse
from dateutil.relativedelta import relativedelta
from django.db.models import Sum
from django.utils import timezone
KFET_WAKES_UP_AT = time(7, 0)
KFET_WAKES_UP_AT = time(5, 0) # La K-Fêt ouvre à 5h (UTC) du matin
def kfet_day(year, month, day, start_at=KFET_WAKES_UP_AT):
"""datetime wrapper with time offset."""
naive = datetime.combine(date(year, month, day), start_at)
return pytz.timezone("Europe/Paris").localize(naive, is_dst=None)
"""Étant donné une date, renvoie un objet `datetime`
correspondant au début du 'jour K-Fêt' correspondant."""
return datetime.combine(date(year, month, day), start_at)
def to_kfet_day(dt, start_at=KFET_WAKES_UP_AT):
"""
Retourne le 'jour K-Fêt' correspondant à un objet `datetime` donné
"""
kfet_dt = kfet_day(year=dt.year, month=dt.month, day=dt.day)
if dt.time() < start_at:
kfet_dt -= timedelta(days=1)
@ -23,6 +24,17 @@ def to_kfet_day(dt, start_at=KFET_WAKES_UP_AT):
class Scale(object):
"""
Classe utilisée pour subdiviser un QuerySet (e.g. des opérations) sur
une échelle de temps donnée, avec un pas de temps fixe.
Cette échelle peut être spécifiée :
- par un début et une fin,
- par un début/une fin et un nombre de subdivisions.
Si le booléen `std_chunk` est activé, le début de la première subdivision
est généré via la fonction `get_chunk_start`.
"""
name = None
step = None
@ -52,7 +64,7 @@ class Scale(object):
"or use last and n_steps"
)
self.datetimes = self.get_datetimes()
self._gen_datetimes()
@staticmethod
def by_name(name):
@ -61,9 +73,6 @@ class Scale(object):
return cls
return None
def get_from(self, dt):
return self.std_chunk and self.get_chunk_start(dt) or dt
def __getitem__(self, i):
return self.datetimes[i], self.datetimes[i + 1]
@ -73,13 +82,13 @@ class Scale(object):
def do_step(self, dt, n_steps=1):
return dt + self.step * n_steps
def get_datetimes(self):
def _gen_datetimes(self):
datetimes = [self.begin]
tmp = self.begin
while tmp < self.end:
tmp = self.do_step(tmp)
datetimes.append(tmp)
return datetimes
self.datetimes = datetimes
def get_labels(self, label_fmt=None):
if label_fmt is None:
@ -89,93 +98,18 @@ class Scale(object):
for i, (begin, end) in enumerate(self)
]
def chunkify_qs(self, qs, field=None):
if field is None:
field = "at"
def chunkify_qs(self, qs, field="at", aggregate=None):
"""
Découpe un queryset en subdivisions, avec agrégation optionnelle des résultats
NB : on pourrait faire ça en une requête, au détriment de la lisibilité...
"""
begin_f = "{}__gte".format(field)
end_f = "{}__lte".format(field)
return [qs.filter(**{begin_f: begin, end_f: end}) for begin, end in self]
def get_by_chunks(self, qs, field_callback=None, field_db="at"):
"""Objects of queryset ranked according to the scale.
Returns a generator whose each item, corresponding to a scale chunk,
is a generator of objects from qs for this chunk.
Args:
qs: Queryset of source objects, must be ordered *first* on the
same field returned by `field_callback`.
field_callback: Callable which gives value from an object used
to compare against limits of the scale chunks.
Default to: lambda obj: getattr(obj, field_db)
field_db: Used to filter against `scale` limits.
Default to 'at'.
Examples:
If queryset `qs` use `values()`, `field_callback` must be set and
could be: `lambda d: d['at']`
If `field_db` use foreign attributes (eg with `__`), it should be
something like: `lambda obj: obj.group.at`.
"""
if field_callback is None:
def field_callback(obj):
return getattr(obj, field_db)
begin_f = "{}__gte".format(field_db)
end_f = "{}__lte".format(field_db)
qs = qs.filter(**{begin_f: self.begin, end_f: self.end})
obj_iter = iter(qs)
last_obj = None
def _objects_until(obj_iter, field_callback, end):
"""Generator of objects until `end`.
Ends if objects source is empty or when an object not verifying
field_callback(obj) <= end is met.
If this object exists, it is stored in `last_obj` which is found
from outer scope.
Also, if this same variable is non-empty when the function is
called, it first yields its content.
Args:
obj_iter: Source used to get objects.
field_callback: Returned value, when it is called on an object
will be used to test ordering against `end`.
end
"""
nonlocal last_obj
if last_obj is not None:
yield last_obj
last_obj = None
for obj in obj_iter:
if field_callback(obj) <= end:
yield obj
else:
last_obj = obj
return
for begin, end in self:
# forward last seen object, if it exists, to the right chunk,
# and fill with empty generators for intermediate chunks of scale
if last_obj is not None:
if field_callback(last_obj) > end:
yield iter(())
continue
# yields generator for this chunk
# this set last_obj to None if obj_iter reach its end, otherwise
# it's set to the first met object from obj_iter which doesn't
# belong to this chunk
yield _objects_until(obj_iter, field_callback, end)
chunks = [qs.filter(**{begin_f: begin, end_f: end}) for begin, end in self]
if aggregate is None:
return chunks
else:
return [chunk.aggregate(agg=aggregate)["agg"] or 0 for chunk in chunks]
class DayScale(Scale):
@ -191,7 +125,7 @@ class DayScale(Scale):
class WeekScale(Scale):
name = "week"
step = timedelta(days=7)
label_fmt = "Semaine %W"
label_fmt = "%d %b."
@classmethod
def get_chunk_start(cls, dt):
@ -210,111 +144,67 @@ class MonthScale(Scale):
return to_kfet_day(dt).replace(day=1)
def stat_manifest(
scales_def=None, scale_args=None, scale_prefix=None, **other_url_params
):
if scale_prefix is None:
scale_prefix = "scale_"
if scales_def is None:
scales_def = []
if scale_args is None:
scale_args = {}
manifest = []
for label, cls in scales_def:
url_params = {scale_prefix + "name": cls.name}
url_params.update(
{scale_prefix + key: value for key, value in scale_args.items()}
)
def scale_url_params(scales_def, **other_url_params):
"""
Convertit une spécification de scales en arguments GET utilisables par ScaleMixin.
La spécification est de la forme suivante :
- scales_def : liste de champs de la forme (label, scale)
- scale_args : arguments à passer à Scale.__init__
- other_url_params : paramètres GET supplémentaires
"""
params_list = []
for label, cls, params, default in scales_def:
url_params = {"scale_name": cls.name}
url_params.update({"scale_" + key: value for key, value in params.items()})
url_params.update(other_url_params)
manifest.append(dict(label=label, url_params=url_params))
return manifest
params_list.append(dict(label=label, url_params=url_params, default=default))
def last_stats_manifest(
scales_def=None, scale_args=None, scale_prefix=None, **url_params
):
scales_def = [
("Derniers mois", MonthScale),
("Dernières semaines", WeekScale),
("Derniers jours", DayScale),
]
if scale_args is None:
scale_args = {}
scale_args.update(dict(last=True, n_steps=7))
return stat_manifest(
scales_def=scales_def,
scale_args=scale_args,
scale_prefix=scale_prefix,
**url_params
)
# 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
return params_list
class ScaleMixin(object):
scale_args_prefix = "scale_"
def get_scale_args(self, params=None, prefix=None):
"""Retrieve scale args from params.
Should search the same args of Scale constructor.
Args:
params (dict, optional): Scale args are searched in this.
Default to GET params of request.
prefix (str, optional): Appended at the begin of scale args names.
Default to `self.scale_args_prefix`.
def parse_scale_args(self):
"""
Récupère les paramètres de subdivision encodés dans une requête GET.
"""
if params is None:
params = self.request.GET
if prefix is None:
prefix = self.scale_args_prefix
scale_args = {}
name = params.get(prefix + "name", None)
name = self.request.GET.get("scale_name", None)
if name is not None:
scale_args["name"] = name
n_steps = params.get(prefix + "n_steps", None)
n_steps = self.request.GET.get("scale_n_steps", None)
if n_steps is not None:
scale_args["n_steps"] = int(n_steps)
begin = params.get(prefix + "begin", None)
begin = self.request.GET.get("scale_begin", None)
if begin is not None:
scale_args["begin"] = dateutil_parse(begin)
end = params.get(prefix + "send", None)
end = self.request.GET.get("scale_send", None)
if end is not None:
scale_args["end"] = dateutil_parse(end)
last = params.get(prefix + "last", None)
last = self.request.GET.get("scale_last", None)
if last is not None:
scale_args["last"] = last in ["true", "True", "1"] and True or False
return scale_args
def get_context_data(self, *args, **kwargs):
context = super().get_context_data(*args, **kwargs)
# On n'hérite pas
scale_args = self.get_scale_args()
scale_args = self.parse_scale_args()
scale_name = scale_args.pop("name", None)
scale_cls = Scale.by_name(scale_name)
if scale_cls is None:
scale = self.get_default_scale()
self.scale = self.get_default_scale()
else:
scale = scale_cls(**scale_args)
self.scale = scale_cls(**scale_args)
self.scale = scale
context["labels"] = scale.get_labels()
return context
return {"labels": self.scale.get_labels()}
def get_default_scale(self):
return DayScale(n_steps=7, last=True)

68
kfet/tests/test_views.py
View file

@ -628,37 +628,51 @@ class AccountStatOperationListViewTests(ViewTestCaseMixin, TestCase):
expected_stats = [
{
"label": "Derniers mois",
"label": "Tout le temps",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"types": ["['purchase']"],
"scale_name": ["month"],
"scale_last": ["True"],
"scale_begin": [
self.accounts["user1"].created_at.isoformat(" ")
],
},
},
},
{
"label": "1 an",
"url": {
"path": base_url,
"query": {
"types": ["['purchase']"],
"scale_n_steps": ["12"],
"scale_name": ["month"],
"scale_last": ["True"],
},
},
},
{
"label": "Dernières semaines",
"label": "3 mois",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"types": ["['purchase']"],
"scale_n_steps": ["13"],
"scale_name": ["week"],
"types": ["['purchase']"],
"scale_last": ["True"],
},
},
},
{
"label": "Derniers jours",
"label": "2 semaines",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"scale_name": ["day"],
"types": ["['purchase']"],
"scale_n_steps": ["14"],
"scale_name": ["day"],
"scale_last": ["True"],
},
},
@ -1524,6 +1538,21 @@ class ArticleStatSalesListViewTests(ViewTestCaseMixin, TestCase):
self.article = Article.objects.create(
name="Article", category=ArticleCategory.objects.create(name="Category")
)
checkout = Checkout.objects.create(
name="Checkout",
created_by=self.accounts["team"],
balance=5,
valid_from=self.now,
valid_to=self.now + timedelta(days=5),
)
self.opegroup = create_operation_group(
on_acc=self.accounts["user"],
checkout=checkout,
content=[
{"type": Operation.PURCHASE, "article": self.article, "article_nb": 2},
],
)
def test_ok(self):
r = self.client.get(self.url)
@ -1535,33 +1564,44 @@ class ArticleStatSalesListViewTests(ViewTestCaseMixin, TestCase):
expected_stats = [
{
"label": "Derniers mois",
"label": "Tout le temps",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"scale_name": ["month"],
"scale_last": ["True"],
"scale_begin": [self.opegroup.at.isoformat(" ")],
},
},
},
{
"label": "1 an",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["12"],
"scale_name": ["month"],
"scale_last": ["True"],
},
},
},
{
"label": "Dernières semaines",
"label": "3 mois",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"scale_n_steps": ["13"],
"scale_name": ["week"],
"scale_last": ["True"],
},
},
},
{
"label": "Derniers jours",
"label": "2 semaines",
"url": {
"path": base_url,
"query": {
"scale_n_steps": ["7"],
"scale_n_steps": ["14"],
"scale_name": ["day"],
"scale_last": ["True"],
},

274
kfet/views.py
View file

@ -2,6 +2,7 @@ import ast
import heapq
import statistics
from collections import defaultdict
from datetime import timedelta
from decimal import Decimal
from typing import List
from urllib.parse import urlencode
@ -76,7 +77,7 @@ from kfet.models import (
Transfer,
TransferGroup,
)
from kfet.statistic import ScaleMixin, WeekScale, last_stats_manifest
from kfet.statistic import DayScale, MonthScale, ScaleMixin, WeekScale, scale_url_params
from .auth import KFET_GENERIC_TRIGRAMME
from .auth.views import ( # noqa
@ -2199,7 +2200,7 @@ class SupplierUpdate(SuccessMessageMixin, UpdateView):
# Vues génériques
# ---------------
# source : docs.djangoproject.com/fr/1.10/topics/class-based-views/mixins/
class JSONResponseMixin(object):
class JSONResponseMixin:
"""
A mixin that can be used to render a JSON response.
"""
@ -2228,34 +2229,39 @@ class JSONDetailView(JSONResponseMixin, BaseDetailView):
return self.render_to_json_response(context)
class PkUrlMixin(object):
def get_object(self, *args, **kwargs):
get_by = self.kwargs.get(self.pk_url_kwarg)
return get_object_or_404(self.model, **{self.pk_url_kwarg: get_by})
class SingleResumeStat(JSONDetailView):
"""Manifest for a kind of a stat about an object.
"""
Génère l'interface de sélection pour les statistiques d'un compte/article.
L'interface est constituée d'une série de boutons, qui récupèrent et graphent
des statistiques du même type, sur le même objet mais avec des arguments différents.
Returns JSON whose payload is an array containing descriptions of a stat:
url to retrieve data, label, ...
Attributs :
- url_stat : URL où récupérer les statistiques
- stats : liste de dictionnaires avec les clés suivantes :
- label : texte du bouton
- url_params : paramètres GET à rajouter à `url_stat`
- default : si `True`, graphe à montrer par défaut
On peut aussi définir `stats` dynamiquement, via la fonction `get_stats`.
"""
id_prefix = ""
nb_default = 0
stats = []
url_stat = None
stats = []
def get_stats(self):
return self.stats
def get_context_data(self, **kwargs):
# On n'hérite pas
object_id = self.object.id
context = {}
stats = []
prefix = "{}_{}".format(self.id_prefix, object_id)
for i, stat_def in enumerate(self.stats):
# On peut avoir récupéré self.object via pk ou slug
if self.pk_url_kwarg in self.kwargs:
url_pk = getattr(self.object, self.pk_url_kwarg)
else:
url_pk = getattr(self.object, self.slug_url_kwarg)
for stat_def in self.get_stats():
url_params_d = stat_def.get("url_params", {})
if len(url_params_d) > 0:
url_params = "?{}".format(urlencode(url_params_d))
@ -2264,42 +2270,21 @@ class SingleResumeStat(JSONDetailView):
stats.append(
{
"label": stat_def["label"],
"btn": "btn_{}_{}".format(prefix, i),
"url": "{url}{params}".format(
url=reverse(self.url_stat, args=[url_pk]), params=url_params
),
"default": stat_def.get("default", False),
}
)
context["id_prefix"] = prefix
context["content_id"] = "content_%s" % prefix
context["stats"] = stats
context["default_stat"] = self.nb_default
context["object_id"] = object_id
return context
# -----------------------
# Evolution Balance perso
# -----------------------
ID_PREFIX_ACC_BALANCE = "balance_acc"
class AccountStatBalanceList(PkUrlMixin, SingleResumeStat):
"""Manifest for balance stats of an account."""
model = Account
context_object_name = "account"
pk_url_kwarg = "trigramme"
url_stat = "kfet.account.stat.balance"
id_prefix = ID_PREFIX_ACC_BALANCE
stats = [
{"label": "Tout le temps"},
{"label": "1 an", "url_params": {"last_days": 365}},
{"label": "6 mois", "url_params": {"last_days": 183}},
{"label": "3 mois", "url_params": {"last_days": 90}},
{"label": "30 jours", "url_params": {"last_days": 30}},
]
nb_default = 0
class UserAccountMixin:
"""
Mixin qui vérifie que le compte traité par la vue est celui de l'utilisateur·ice
actuel·le. Dans le cas contraire, renvoie un Http404.
"""
def get_object(self, *args, **kwargs):
obj = super().get_object(*args, **kwargs)
@ -2307,21 +2292,41 @@ class AccountStatBalanceList(PkUrlMixin, SingleResumeStat):
raise Http404
return obj
@method_decorator(login_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)
# -----------------------
# Evolution Balance perso
# -----------------------
class AccountStatBalance(PkUrlMixin, JSONDetailView):
"""Datasets of balance of an account.
Operations and Transfers are taken into account.
@method_decorator(login_required, name="dispatch")
class AccountStatBalanceList(UserAccountMixin, SingleResumeStat):
"""
Menu général pour l'historique de balance d'un compte
"""
model = Account
pk_url_kwarg = "trigramme"
context_object_name = "account"
slug_url_kwarg = "trigramme"
slug_field = "trigramme"
url_stat = "kfet.account.stat.balance"
stats = [
{"label": "Tout le temps"},
{"label": "1 an", "url_params": {"last_days": 365}},
{"label": "6 mois", "url_params": {"last_days": 183}},
{"label": "3 mois", "url_params": {"last_days": 90}, "default": True},
{"label": "30 jours", "url_params": {"last_days": 30}},
]
@method_decorator(login_required, name="dispatch")
class AccountStatBalance(UserAccountMixin, JSONDetailView):
"""
Statistiques (JSON) d'historique de balance d'un compte.
Prend en compte les opérations et transferts sur la période donnée.
"""
model = Account
slug_url_kwarg = "trigramme"
slug_field = "trigramme"
def get_changes_list(self, last_days=None, begin_date=None, end_date=None):
account = self.object
@ -2420,57 +2425,50 @@ class AccountStatBalance(PkUrlMixin, JSONDetailView):
# TODO: offset
return context
def get_object(self, *args, **kwargs):
obj = super().get_object(*args, **kwargs)
if self.request.user != obj.user:
raise Http404
return obj
@method_decorator(login_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)
# ------------------------
# Consommation personnelle
# ------------------------
ID_PREFIX_ACC_LAST = "last_acc"
ID_PREFIX_ACC_LAST_DAYS = "last_days_acc"
ID_PREFIX_ACC_LAST_WEEKS = "last_weeks_acc"
ID_PREFIX_ACC_LAST_MONTHS = "last_months_acc"
class AccountStatOperationList(PkUrlMixin, SingleResumeStat):
"""Manifest for operations stats of an account."""
@method_decorator(login_required, name="dispatch")
class AccountStatOperationList(UserAccountMixin, SingleResumeStat):
"""
Menu général pour l'historique de consommation d'un compte
"""
model = Account
context_object_name = "account"
pk_url_kwarg = "trigramme"
id_prefix = ID_PREFIX_ACC_LAST
nb_default = 2
stats = last_stats_manifest(types=[Operation.PURCHASE])
slug_url_kwarg = "trigramme"
slug_field = "trigramme"
url_stat = "kfet.account.stat.operation"
def get_object(self, *args, **kwargs):
obj = super().get_object(*args, **kwargs)
if self.request.user != obj.user:
raise Http404
return obj
def get_stats(self):
scales_def = [
(
"Tout le temps",
MonthScale,
{"last": True, "begin": self.object.created_at},
False,
),
("1 an", MonthScale, {"last": True, "n_steps": 12}, False),
("3 mois", WeekScale, {"last": True, "n_steps": 13}, True),
("2 semaines", DayScale, {"last": True, "n_steps": 14}, False),
]
@method_decorator(login_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)
return scale_url_params(scales_def, types=[Operation.PURCHASE])
class AccountStatOperation(ScaleMixin, PkUrlMixin, JSONDetailView):
"""Datasets of operations of an account."""
@method_decorator(login_required, name="dispatch")
class AccountStatOperation(UserAccountMixin, ScaleMixin, JSONDetailView):
"""
Statistiques (JSON) de consommation (nb d'items achetés) d'un compte.
"""
model = Account
pk_url_kwarg = "trigramme"
context_object_name = "account"
id_prefix = ""
slug_url_kwarg = "trigramme"
slug_field = "trigramme"
def get_operations(self, scale, types=None):
def get_operations(self, types=None):
# On selectionne les opérations qui correspondent
# à l'article en question et qui ne sont pas annulées
# puis on choisi pour chaques intervalle les opérations
@ -2482,28 +2480,20 @@ class AccountStatOperation(ScaleMixin, PkUrlMixin, JSONDetailView):
)
if types is not None:
all_operations = all_operations.filter(type__in=types)
chunks = scale.get_by_chunks(
all_operations,
field_db="group__at",
field_callback=(lambda d: d["group__at"]),
)
return chunks
return all_operations
def get_context_data(self, *args, **kwargs):
old_ctx = super().get_context_data(*args, **kwargs)
context = {"labels": old_ctx["labels"]}
scale = self.scale
context = super().get_context_data(*args, **kwargs)
types = self.request.GET.get("types", None)
if types is not None:
types = ast.literal_eval(types)
operations = self.get_operations(types=types, scale=scale)
operations = self.get_operations(types=types)
# On compte les opérations
nb_ventes = []
for chunk in operations:
ventes = sum(ope["article_nb"] for ope in chunk)
nb_ventes.append(ventes)
nb_ventes = self.scale.chunkify_qs(
operations, field="group__at", aggregate=Sum("article_nb")
)
context["charts"] = [
{
@ -2514,50 +2504,54 @@ class AccountStatOperation(ScaleMixin, PkUrlMixin, JSONDetailView):
]
return context
def get_object(self, *args, **kwargs):
obj = super().get_object(*args, **kwargs)
if self.request.user != obj.user:
raise Http404
return obj
@method_decorator(login_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)
# ------------------------
# Article Satistiques Last
# ------------------------
ID_PREFIX_ART_LAST = "last_art"
ID_PREFIX_ART_LAST_DAYS = "last_days_art"
ID_PREFIX_ART_LAST_WEEKS = "last_weeks_art"
ID_PREFIX_ART_LAST_MONTHS = "last_months_art"
@method_decorator(teamkfet_required, name="dispatch")
class ArticleStatSalesList(SingleResumeStat):
"""Manifest for sales stats of an article."""
"""
Menu pour les statistiques de vente d'un article.
"""
model = Article
context_object_name = "article"
id_prefix = ID_PREFIX_ART_LAST
nb_default = 2
url_stat = "kfet.article.stat.sales"
stats = last_stats_manifest()
@method_decorator(teamkfet_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)
def get_stats(self):
first_conso = (
Operation.objects.filter(article=self.object)
.order_by("group__at")
.values_list("group__at", flat=True)
.first()
)
if first_conso is None:
# On le crée dans le passé au cas où
first_conso = timezone.now() - timedelta(seconds=1)
scales_def = [
("Tout le temps", MonthScale, {"last": True, "begin": first_conso}, False),
("1 an", MonthScale, {"last": True, "n_steps": 12}, False),
("3 mois", WeekScale, {"last": True, "n_steps": 13}, True),
("2 semaines", DayScale, {"last": True, "n_steps": 14}, False),
]
return scale_url_params(scales_def)
@method_decorator(teamkfet_required, name="dispatch")
class ArticleStatSales(ScaleMixin, JSONDetailView):
"""Datasets of sales of an article."""
"""
Statistiques (JSON) de vente d'un article.
Sépare LIQ et les comptes K-Fêt, et rajoute le total.
"""
model = Article
context_object_name = "article"
def get_context_data(self, *args, **kwargs):
old_ctx = super().get_context_data(*args, **kwargs)
context = {"labels": old_ctx["labels"]}
context = super().get_context_data(*args, **kwargs)
scale = self.scale
all_purchases = (
@ -2570,23 +2564,13 @@ class ArticleStatSales(ScaleMixin, JSONDetailView):
liq_only = all_purchases.filter(group__on_acc__trigramme="LIQ")
liq_exclude = all_purchases.exclude(group__on_acc__trigramme="LIQ")
chunks_liq = scale.get_by_chunks(
liq_only, field_db="group__at", field_callback=lambda d: d["group__at"]
nb_liq = scale.chunkify_qs(
liq_only, field="group__at", aggregate=Sum("article_nb")
)
chunks_no_liq = scale.get_by_chunks(
liq_exclude, field_db="group__at", field_callback=lambda d: d["group__at"]
nb_accounts = scale.chunkify_qs(
liq_exclude, field="group__at", aggregate=Sum("article_nb")
)
# On compte les opérations
nb_ventes = []
nb_accounts = []
nb_liq = []
for chunk_liq, chunk_no_liq in zip(chunks_liq, chunks_no_liq):
sum_accounts = sum(ope["article_nb"] for ope in chunk_no_liq)
sum_liq = sum(ope["article_nb"] for ope in chunk_liq)
nb_ventes.append(sum_accounts + sum_liq)
nb_accounts.append(sum_accounts)
nb_liq.append(sum_liq)
nb_ventes = [n1 + n2 for n1, n2 in zip(nb_liq, nb_accounts)]
context["charts"] = [
{
@ -2602,7 +2586,3 @@ class ArticleStatSales(ScaleMixin, JSONDetailView):
},
]
return context
@method_decorator(teamkfet_required)
def dispatch(self, *args, **kwargs):
return super().dispatch(*args, **kwargs)