checkout/src/purchase/views/reports.py

206 lines
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Python
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import datetime
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from io import StringIO
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from zoneinfo import ZoneInfo
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import matplotlib
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import numpy as np
from django.conf import settings
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from django.contrib import messages
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from django.contrib.auth.decorators import permission_required
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from django.shortcuts import render
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from django.template.response import TemplateResponse
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from django.utils.translation import gettext as _
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from django.views.decorators.http import condition
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from matplotlib import pyplot as plt
from matplotlib import ticker
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from matplotlib.axes import Axes
from matplotlib.container import BarContainer
from matplotlib.dates import AutoDateLocator, ConciseDateFormatter, HourLocator
from matplotlib.figure import Figure
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from purchase.models import Basket, CacheEtag, PaymentMethod, Product, ProductQuerySet
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matplotlib.use("SVG")
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def reports_etag(request):
return str(CacheEtag.get_solo().value)
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@permission_required("purchase.view_basket")
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@condition(etag_func=reports_etag)
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def products_plots_view(request):
products = Product.objects.with_turnover().with_sold()
(
products_plot,
products_sold_pie,
products_turnover_pie,
) = get_products_plots(products)
context = {
"plots": [products_plot, products_sold_pie, products_turnover_pie],
}
return render(request, "purchase/snippets/plots.html", context)
@permission_required("purchase.view_basket")
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@condition(etag_func=reports_etag)
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def by_hour_plot_view(request):
baskets = list(Basket.objects.priced().order_by("created_at"))
context = {
"plots": [by_hour_plot(baskets)],
}
return render(request, "purchase/snippets/plots.html", context)
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@permission_required("purchase.view_basket")
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@condition(etag_func=reports_etag)
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def reports(request):
template_name = "purchase/reports.html"
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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()
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,
"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
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basket = baskets[basket_index]
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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