2022-04-26 20:08:13 +02:00
|
|
|
import datetime
|
2022-04-26 19:25:09 +02:00
|
|
|
from io import StringIO
|
2022-04-27 22:59:52 +02:00
|
|
|
from zoneinfo import ZoneInfo
|
2022-04-26 19:25:09 +02:00
|
|
|
|
2022-04-27 22:59:52 +02:00
|
|
|
import numpy as np
|
|
|
|
from django.conf import settings
|
2022-04-26 21:10:03 +02:00
|
|
|
from django.contrib import messages
|
2022-05-04 22:24:05 +02:00
|
|
|
from django.contrib.auth.decorators import permission_required
|
|
|
|
from django.template.response import TemplateResponse
|
2022-04-26 19:25:09 +02:00
|
|
|
from django.utils.translation import gettext as _
|
|
|
|
from matplotlib import pyplot as plt
|
|
|
|
from matplotlib import ticker
|
2022-04-27 22:59:52 +02:00
|
|
|
from matplotlib.axes import Axes
|
|
|
|
from matplotlib.container import BarContainer
|
|
|
|
from matplotlib.dates import AutoDateLocator, ConciseDateFormatter, HourLocator
|
|
|
|
from matplotlib.figure import Figure
|
2022-04-25 18:37:26 +02:00
|
|
|
|
2022-04-27 20:46:50 +02:00
|
|
|
from purchase.models import Basket, PaymentMethod, Product, ProductQuerySet
|
2022-04-25 18:37:26 +02:00
|
|
|
|
|
|
|
|
2022-05-04 22:24:05 +02:00
|
|
|
@permission_required("purchase.view_basket")
|
|
|
|
def reports(request):
|
2022-04-25 18:37:26 +02:00
|
|
|
template_name = "purchase/reports.html"
|
2022-05-04 22:24:05 +02:00
|
|
|
baskets = list(Basket.objects.priced().order_by("created_at"))
|
|
|
|
if not baskets:
|
|
|
|
messages.warning(request, _("No sale to report"))
|
|
|
|
return TemplateResponse(request, template_name, {})
|
|
|
|
|
|
|
|
dates = Basket.objects.values_list("created_at__date", flat=True).distinct()
|
|
|
|
average_basket_by_day = {
|
|
|
|
date: Basket.objects.by_date(date).average_basket() for date in dates
|
|
|
|
}
|
|
|
|
turnover_by_day = {date: Basket.objects.by_date(date).turnover() for date in dates}
|
|
|
|
|
|
|
|
products = Product.objects.with_turnover().with_sold()
|
|
|
|
(
|
|
|
|
products_plot,
|
|
|
|
products_sold_pie,
|
|
|
|
products_turnover_pie,
|
|
|
|
) = get_products_plots(products)
|
|
|
|
|
|
|
|
context = {
|
|
|
|
"turnover": Basket.objects.turnover(),
|
|
|
|
"turnover_by_day": turnover_by_day,
|
|
|
|
"average_basket": Basket.objects.average_basket(),
|
|
|
|
"average_basket_by_day": average_basket_by_day,
|
|
|
|
"products": products,
|
|
|
|
"products_plot": products_plot,
|
|
|
|
"products_sold_pie": products_sold_pie,
|
|
|
|
"products_turnover_pie": products_turnover_pie,
|
|
|
|
"by_hour_plot": by_hour_plot(baskets),
|
|
|
|
"payment_methods": PaymentMethod.objects.with_turnover().with_sold(),
|
|
|
|
"no_payment_method": Basket.objects.no_payment_method().priced(),
|
|
|
|
}
|
|
|
|
return TemplateResponse(request, template_name, context)
|
|
|
|
|
|
|
|
|
|
|
|
def get_products_plots(products: ProductQuerySet):
|
|
|
|
labels, sold, turnover = get_products_data_for_plot(products)
|
|
|
|
|
|
|
|
x = np.arange(len(labels))
|
|
|
|
width = 0.4
|
|
|
|
fig: Figure = plt.figure()
|
|
|
|
fig.suptitle(_("Sales by product"))
|
|
|
|
|
|
|
|
color = "tab:orange"
|
|
|
|
ax1: Axes = fig.add_subplot()
|
|
|
|
bar: BarContainer = ax1.bar(x - width / 2, sold, width=width, color=color)
|
|
|
|
ax1.bar_label(bar)
|
|
|
|
ax1.tick_params(axis="x", rotation=15)
|
|
|
|
ax1.tick_params(axis="y", labelcolor=color)
|
|
|
|
ax1.set_xticks(x, labels)
|
|
|
|
ax1.set_ylabel(_("# sold"), color=color)
|
|
|
|
|
|
|
|
color = "tab:blue"
|
|
|
|
ax2: Axes = ax1.twinx()
|
|
|
|
bar = ax2.bar(x + width / 2, turnover, width=width, color=color)
|
|
|
|
ax2.bar_label(bar, fmt="%d€")
|
|
|
|
ax2.set_ylabel(_("Turnover by product"), color=color)
|
|
|
|
ax2.yaxis.set_major_formatter(ticker.FormatStrFormatter("%.2f€"))
|
|
|
|
ax2.tick_params(axis="y", labelcolor=color)
|
|
|
|
|
|
|
|
fig.tight_layout()
|
|
|
|
img1 = get_image_from_fig(fig)
|
|
|
|
|
|
|
|
fig = plt.figure()
|
|
|
|
fig.suptitle(_("# sold"))
|
|
|
|
ax1 = fig.add_subplot()
|
|
|
|
ax1.pie(sold, labels=labels, autopct="%d%%")
|
|
|
|
fig.tight_layout()
|
|
|
|
img2 = get_image_from_fig(fig)
|
|
|
|
|
|
|
|
fig = plt.figure()
|
|
|
|
fig.suptitle(_("Turnover by product"))
|
|
|
|
ax1 = fig.add_subplot()
|
|
|
|
ax1.pie(turnover, labels=labels, autopct="%d%%")
|
|
|
|
fig.tight_layout()
|
|
|
|
img3 = get_image_from_fig(fig)
|
|
|
|
|
|
|
|
return img1, img2, img3
|
|
|
|
|
|
|
|
|
|
|
|
def get_products_data_for_plot(products):
|
|
|
|
labels = []
|
|
|
|
sold = []
|
|
|
|
turnover = []
|
|
|
|
for product in products:
|
|
|
|
labels.append(product.name)
|
|
|
|
sold.append(product.sold)
|
|
|
|
turnover.append(product.turnover / 100)
|
|
|
|
return labels, sold, turnover
|
|
|
|
|
|
|
|
|
|
|
|
def by_hour_plot(baskets):
|
|
|
|
labels, counts, turnovers = get_by_hour_data_for_plot(baskets)
|
|
|
|
hours_in_day = 24
|
|
|
|
fig: Figure = plt.figure()
|
|
|
|
fig.suptitle(_("Sales by hour"))
|
|
|
|
ax1: Axes = fig.add_subplot()
|
|
|
|
|
|
|
|
color = "tab:orange"
|
|
|
|
ax1.bar(labels, counts, width=1 / hours_in_day, color=color)
|
|
|
|
ax1.tick_params(axis="x", rotation=15)
|
|
|
|
ax1.xaxis.set_minor_locator(HourLocator())
|
|
|
|
tz = ZoneInfo(settings.TIME_ZONE)
|
|
|
|
locator = AutoDateLocator(tz=tz)
|
|
|
|
ax1.xaxis.set_major_locator(locator)
|
|
|
|
ax1.xaxis.set_major_formatter(ConciseDateFormatter(locator, tz=tz))
|
|
|
|
ax1.set_ylabel(_("Basket count by hour"), color=color)
|
|
|
|
ax1.set_yticks(np.linspace(*ax1.get_ybound(), 8))
|
|
|
|
ax1.tick_params(axis="y", labelcolor=color)
|
|
|
|
ax1.grid(visible=True, which="major", axis="y")
|
|
|
|
|
|
|
|
color = "tab:blue"
|
|
|
|
ax2: Axes = ax1.twinx()
|
|
|
|
ax2.plot(labels, turnovers, ".-", color=color)
|
|
|
|
ax2.set_ylabel(_("Turnover by hour"), color=color)
|
|
|
|
ax2.set_ylim(bottom=0)
|
|
|
|
ax2.set_yticks(np.linspace(*ax2.get_ybound(), 8))
|
|
|
|
ax2.tick_params(axis="y", labelcolor=color)
|
|
|
|
ax2.yaxis.set_major_formatter(ticker.FormatStrFormatter("%.2f€"))
|
|
|
|
|
|
|
|
fig.tight_layout()
|
|
|
|
return get_image_from_fig(fig)
|
|
|
|
|
|
|
|
|
|
|
|
def get_by_hour_data_for_plot(baskets):
|
|
|
|
current: datetime.datetime = baskets[0].created_at
|
|
|
|
current = current.replace(minute=0, second=0, microsecond=0)
|
|
|
|
end: datetime.datetime = baskets[-1].created_at
|
|
|
|
basket_index = 0
|
|
|
|
labels = []
|
|
|
|
counts = []
|
|
|
|
turnovers = []
|
|
|
|
while current < end:
|
|
|
|
end_slot = current + datetime.timedelta(hours=1)
|
|
|
|
basket = baskets[basket_index]
|
|
|
|
count = 0
|
|
|
|
turnover = 0
|
|
|
|
while basket.created_at < end_slot:
|
|
|
|
count += 1
|
|
|
|
turnover += basket.price / 100
|
|
|
|
basket_index += 1
|
|
|
|
if basket_index == len(baskets):
|
|
|
|
break
|
2022-04-26 20:08:13 +02:00
|
|
|
basket = baskets[basket_index]
|
2022-05-04 22:24:05 +02:00
|
|
|
labels.append(current.astimezone(ZoneInfo(settings.TIME_ZONE)))
|
|
|
|
counts.append(count)
|
|
|
|
turnovers.append(turnover)
|
|
|
|
current = end_slot
|
|
|
|
return labels, counts, turnovers
|
|
|
|
|
|
|
|
|
|
|
|
def get_image_from_fig(fig):
|
|
|
|
image_data = StringIO()
|
|
|
|
fig.savefig(image_data, format="svg")
|
|
|
|
image_data.seek(0)
|
|
|
|
img1 = image_data.getvalue()
|
|
|
|
return img1
|