kopia lustrzana https://github.com/longclawshop/longclaw
49 wiersze
1.4 KiB
Python
49 wiersze
1.4 KiB
Python
'''
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Various stats/analysis calculations
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'''
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import itertools
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import calendar
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from datetime import datetime
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from django.db.models import Q, Sum, F
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from longclaw.longclaworders.models import Order, OrderItem
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def current_month():
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now = datetime.now()
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n_days = calendar.monthrange(now.year, now.month)[1]
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month_start = datetime.strptime('1{}{}'.format(now.month, now.year), '%d%m%Y')
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month_end = datetime.strptime('{}{}{}'.format(n_days, now.month, now.year), '%d%m%Y')
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return month_start, month_end
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def sales_for_time_period(from_date, to_date):
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'''
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Get all sales for a given time period
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'''
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sales = Order.objects.filter(
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Q(payment_date__lte=to_date) & Q(payment_date__gte=from_date)
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).exclude(status=Order.CANCELLED)
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return sales
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def daily_sales(from_date, to_date):
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sales = sales_for_time_period(from_date, to_date)
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grouped = itertools.groupby(sales, lambda order: order.payment_date.strftime("%Y-%m-%d"))
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return grouped
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def sales_by_product(from_date, to_date):
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sales = OrderItem.objects.filter(
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Q(order__payment_date__lte=to_date) & Q(order__payment_date__gte=from_date)
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).exclude(
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order__status=Order.CANCELLED
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).annotate(
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title=F('product__product__title')
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).values(
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'title'
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).annotate(
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quantity=Sum('quantity')
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).order_by('-quantity')
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return sales
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