CGM_Public/pretix_original
2
0
Fork 1
mirror of https://github.com/pretix/pretix.git synced 2026-05-04 15:04:03 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
9844ffca98dc2dc2a6fc7a2f68c50635c64ec44a
pretix_original/src/tests/base/test_pricing_discount.py
Raphael Michel 9844ffca98 Discounts: Fix incorrect test for subevent date limitation (#4991) 
If two discounts match the same products, the first one wins. Therefore,
the one we want to win in the test must always come last, otherwise the
test is not actually testing anything. In this case, this is highlighted
by the fact that the test does not pass in diffrent orders of discounts
unless we subtract a second from the date, because we compare with <=,
not <.
2025-04-07 17:37:55 +02:00

1477 lines
52 KiB
Python
Raw Blame History

#
# This file is part of pretix (Community Edition).
#
# Copyright (C) 2014-2020 Raphael Michel and contributors
# Copyright (C) 2020-2021 rami.io GmbH and contributors
#
# This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General
# Public License as published by the Free Software Foundation in version 3 of the License.
#
# ADDITIONAL TERMS APPLY: Pursuant to Section 7 of the GNU Affero General Public License, additional terms are
# applicable granting you additional permissions and placing additional restrictions on your usage of this software.
# Please refer to the pretix LICENSE file to obtain the full terms applicable to this work. If you did not receive
# this file, see <https://pretix.eu/about/en/license>.
#
# This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied
# warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more
# details.
#
# You should have received a copy of the GNU Affero General Public License along with this program. If not, see
# <https://www.gnu.org/licenses/>.
#
import copy
from datetime import timedelta
from decimal import Decimal
import pytest
from django.utils.timezone import now
from django_scopes import scopes_disabled
from pretix.base.models import Discount, Event, Organizer
from pretix.base.services.pricing import apply_discounts
@pytest.fixture
def event():
o = Organizer.objects.create(name='Dummy', slug='dummy')
event = Event.objects.create(
organizer=o, name='Dummy', slug='dummy',
date_from=now()
)
return event
@pytest.fixture
def item(event):
return event.items.create(name='Ticket', default_price=Decimal('23.00'))
@pytest.fixture
def item2(event):
return event.items.create(name='Ticket II', default_price=Decimal('50.00'))
@pytest.fixture
def item3(event):
return event.items.create(name='Ticket III', default_price=Decimal('42.00'))
@pytest.fixture
def voucher(event):
return event.vouchers.create()
@pytest.fixture
def subevent(event):
event.has_subevents = True
event.save()
return event.subevents.create(name='Foobar', date_from=now())
mixed_min_count_matching_percent = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_MIXED,
condition_min_count=3,
benefit_discount_matching_percent=20
),
)
mixed_min_count_one_free = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_MIXED,
condition_min_count=3,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
),
)
mixed_min_value_matching_percent = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_MIXED,
condition_min_value=500,
benefit_discount_matching_percent=20
),
)
same_min_count_matching_percent = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_SAME,
condition_min_count=3,
benefit_discount_matching_percent=20
),
)
same_min_count_one_free = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_SAME,
condition_min_count=3,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
),
)
same_min_value_matching_percent = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_SAME,
condition_min_value=500,
benefit_discount_matching_percent=20
),
)
distinct_min_count_matching_percent = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_DISTINCT,
condition_min_count=3,
benefit_discount_matching_percent=20
),
)
distinct_min_count_one_free = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_DISTINCT,
condition_min_count=3,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
),
)
distinct_min_count_two_free = (
Discount(
subevent_mode=Discount.SUBEVENT_MODE_DISTINCT,
condition_min_count=3,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=2,
),
)
testcases_single_rule = [
# mixed + min_count + matching_percent
(
mixed_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 2,
(
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 3,
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
(
mixed_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
# mixed + min_count + matching_percent + apply_to_cheapest
(
mixed_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 2,
(
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 3,
(
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 5,
(
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 6,
(
Decimal('0.00'),
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_count_one_free,
(
(1, 1, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('3.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('5.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('6.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('0.00'),
Decimal('3.00'),
Decimal('4.00'),
Decimal('5.00'),
Decimal('6.00'),
)
),
# mixed + min_value + matching_percent
(
mixed_min_value_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 4,
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
mixed_min_value_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 5,
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
(
mixed_min_value_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
) * 10,
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
# same + min_count + matching_percent
(
same_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
same_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
same_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('120.00'),
)
),
# same + min_count + matching_percent + apply_to_cheapest
(
same_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
same_min_count_one_free,
(
(1, 1, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('3.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('5.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('6.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('7.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('8.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('9.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('2.00'),
Decimal('3.00'),
Decimal('0.00'),
Decimal('5.00'),
Decimal('6.00'),
Decimal('7.00'),
Decimal('8.00'),
Decimal('9.00'),
)
),
# same + min_value + matching_percent
(
same_min_value_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
# distinct + min_count + matching_percent
(
distinct_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
distinct_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
(
distinct_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
distinct_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
)
),
(
distinct_min_count_matching_percent,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('96.00'),
Decimal('120.00'),
)
),
# distinct + min_count + matching_percent + apply_to_cheapest
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('0.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('3.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('3.00'), False, False, Decimal('0.00')),
),
(
Decimal('3.00'),
Decimal('2.00'),
Decimal('0.00'),
Decimal('0.00'),
Decimal('2.00'),
Decimal('3.00'),
)
),
(
distinct_min_count_two_free,
(
(1, 1, now(), Decimal('3.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('3.00'), False, False, Decimal('0.00')),
),
(
Decimal('3.00'),
Decimal('0.00'),
Decimal('0.00'),
Decimal('0.00'),
Decimal('0.00'),
Decimal('3.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 5, now(), Decimal('120.00'), False, False, Decimal('0.00')),
(1, 6, now(), Decimal('120.00'), False, False, Decimal('0.00')),
),
(
Decimal('120.00'),
Decimal('120.00'),
Decimal('0.00'),
Decimal('120.00'),
Decimal('120.00'),
Decimal('0.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('1.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('2.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('3.00'), False, False, Decimal('0.00')),
(1, 4, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 5, now(), Decimal('5.00'), False, False, Decimal('0.00')),
(1, 6, now(), Decimal('6.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('0.00'),
Decimal('3.00'),
Decimal('4.00'),
Decimal('5.00'),
Decimal('6.00'),
)
),
(
distinct_min_count_one_free,
(
(1, 1, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('4.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('6.00'), False, False, Decimal('0.00')),
(1, 2, now(), Decimal('6.00'), False, False, Decimal('0.00')),
(1, 3, now(), Decimal('6.00'), False, False, Decimal('0.00')),
),
(
# This one is unexpected, since the customer could get a lower price
# if they would split their order, but it's not really possible to solve
# that without giving up other desired effects.
Decimal('0.00'),
Decimal('0.00'),
Decimal('4.00'),
Decimal('6.00'),
Decimal('6.00'),
Decimal('6.00'),
)
),
# Unconditional
(
(
Discount(condition_min_count=1, benefit_discount_matching_percent=20),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('80.00'),
)
),
(
(
Discount(
condition_min_count=1,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('0.00'),
Decimal('0.00'),
)
),
# Apply partial discount to partial items
(
(
Discount(
condition_min_count=3,
benefit_discount_matching_percent=20,
benefit_only_apply_to_cheapest_n_matches=2
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('100.00'),
Decimal('80.00'),
Decimal('80.00'),
)
),
# Addon handling
(
(
Discount(
condition_min_count=3,
benefit_discount_matching_percent=20,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
),
(
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
)
),
(
(
Discount(
condition_min_count=3,
benefit_discount_matching_percent=20,
condition_apply_to_addons=False,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
),
(
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
Decimal('100.00'),
Decimal('100.00'),
)
),
(
(
Discount(
condition_min_count=3,
benefit_discount_matching_percent=20,
condition_apply_to_addons=False,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, False, Decimal('0.00')),
),
(
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
)
),
# Ignore bundled
(
(
Discount(
condition_min_count=3,
benefit_discount_matching_percent=20,
condition_apply_to_addons=False,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, True, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), True, True, Decimal('0.00')),
),
(
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
)
),
]
testcases_multiple_rules = [
# min_count consumes all discounted
(
(
Discount(
condition_min_count=2,
benefit_discount_matching_percent=20,
),
Discount(
condition_min_count=1,
benefit_discount_matching_percent=50,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
)
),
# reordered
(
(
Discount(
condition_min_count=1,
benefit_discount_matching_percent=50,
position=2,
),
Discount(
condition_min_count=2,
benefit_discount_matching_percent=20,
position=1,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
)
),
# min_count does not consume uneven numbers if not required
(
(
Discount(
condition_min_count=2,
benefit_discount_matching_percent=20,
benefit_only_apply_to_cheapest_n_matches=1
),
Discount(
condition_min_count=1,
benefit_discount_matching_percent=50,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('100.00'),
Decimal('80.00'),
Decimal('50.00'),
)
),
(
(
Discount(
condition_min_count=2,
benefit_discount_matching_percent=20,
benefit_only_apply_to_cheapest_n_matches=1
),
Discount(
condition_min_count=1,
benefit_discount_matching_percent=50,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('100.00'),
Decimal('80.00'),
Decimal('100.00'),
Decimal('80.00'),
Decimal('50.00'),
)
),
# min_value consumes all matching
(
(
Discount(
condition_min_value=Decimal('5.00'),
benefit_discount_matching_percent=20,
),
Discount(
condition_min_count=1,
benefit_discount_matching_percent=50,
),
),
(
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(1, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
),
(
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
)
),
]
@pytest.mark.parametrize("discounts,positions,expected", testcases_single_rule + testcases_multiple_rules)
@pytest.mark.django_db
@scopes_disabled()
def test_discount_evaluation(event, item, subevent, discounts, positions, expected):
for d in discounts:
d = copy.copy(d)
d.event = event
d.internal_name = 'Discount'
d.full_clean()
d.save()
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_limit_products(event, item, item2):
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20, condition_all_products=False)
d1.save()
d1.condition_limit_products.add(item2)
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50, condition_all_products=True)
d2.save()
positions = (
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('80.00'),
Decimal('80.00'),
Decimal('50.00'),
Decimal('50.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_limit_products_subevents_distinct(event, item, item2):
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20, condition_all_products=False,
subevent_mode=Discount.SUBEVENT_MODE_DISTINCT)
d1.save()
d1.condition_limit_products.add(item)
positions = (
(item.pk, 1, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, 2, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, 3, now(), Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, 4, now(), Decimal('50.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('80.00'),
Decimal('80.00'),
Decimal('80.00'),
Decimal('50.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_sales_channels(event, item):
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20, all_sales_channels=False)
d1.save()
d1.limit_sales_channels.add(event.organizer.sales_channels.get(identifier="bar"))
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50, all_sales_channels=False)
d2.save()
d2.limit_sales_channels.add(event.organizer.sales_channels.get(identifier="web"))
d2.limit_sales_channels.add(event.organizer.sales_channels.get(identifier="bar"))
positions = (
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'bar', positions)]) == [Decimal('80.00'), Decimal('80.00')]
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('50.00'), Decimal('50.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_available_from(event, item):
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20, available_from=now() + timedelta(days=1))
d1.save()
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50, available_from=now() - timedelta(days=1))
d2.save()
positions = (
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('50.00'), Decimal('50.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_available_until(event, item):
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20, available_until=now() - timedelta(days=1))
d1.save()
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50, available_until=now() + timedelta(days=1))
d2.save()
positions = (
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('50.00'), Decimal('50.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_subevent_date_from(event, item, subevent):
subevent_date = subevent.date_from # prevent test timing errors
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20,
subevent_date_from=subevent_date + timedelta(days=1))
d1.save()
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50,
subevent_date_from=subevent_date)
d2.save()
# (item_id, subevent_id, subevent_date_from, line_price_gross, is_addon_to, is_bundled, voucher_discount)
positions = (
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('50.00'), Decimal('50.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_subevent_date_until(event, item, subevent):
subevent_date = subevent.date_from # prevent test timing errors
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50,
subevent_date_until=subevent_date - timedelta(seconds=1))
d1.save()
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20,
subevent_date_until=subevent_date + timedelta(days=1))
d2.save()
# (item_id, subevent_id, subevent_date_from, line_price_gross, is_addon_to, is_bundled, voucher_discount)
positions = (
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('80.00'), Decimal('80.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_subevent_date_from_until(event, item, subevent):
subevent_date = subevent.date_from # prevent test timing errors
d1 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=20,
subevent_date_from=subevent_date + timedelta(days=1),
subevent_date_until=subevent_date + timedelta(days=2))
d1.save()
d2 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=50,
subevent_date_from=subevent_date - timedelta(days=2),
subevent_date_until=subevent_date - timedelta(days=1))
d2.save()
d3 = Discount(event=event, condition_min_count=2, benefit_discount_matching_percent=80,
subevent_date_from=subevent_date, subevent_date_until=subevent_date + timedelta(days=1))
d3.save()
# (item_id, subevent_id, subevent_date_from, line_price_gross, is_addon_to, is_bundled, voucher_discount)
positions = (
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, subevent.pk, subevent.date_from, Decimal('100.00'), False, False, Decimal('0.00')),
)
assert sorted([p for p, d in apply_discounts(event, 'web', positions)]) == [Decimal('20.00'), Decimal('20.00')]
@pytest.mark.django_db
@scopes_disabled()
def test_discount_other_products_min_count(event, item, item2):
# "For every 5 item2, one item1 gets in for free"
d1 = Discount(
event=event,
condition_min_count=5,
condition_all_products=False,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_same_products=False,
)
d1.save()
d1.condition_limit_products.add(item2)
d1.benefit_limit_products.add(item)
positions = (
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('90.00'),
Decimal('0.00'),
Decimal('0.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_discount_other_products_min_count_no_addon(event, item, item2):
# "For every 2 item2, one item1 gets in for free, but no addons"
d1 = Discount(
event=event,
condition_min_count=2,
condition_all_products=False,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_same_products=False,
benefit_apply_to_addons=False,
)
d1.save()
d1.condition_limit_products.add(item2)
d1.benefit_limit_products.add(item)
positions = (
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), True, False, Decimal('0.00')),
)
expected = (
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('90.00'),
Decimal('0.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_discount_other_products_min_count_no_voucher(event, item, item2):
# "For every 2 item2, one item1 gets in for free, but no discount on already discounted"
d1 = Discount(
event=event,
condition_min_count=2,
condition_all_products=False,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_same_products=False,
benefit_ignore_voucher_discounted=True,
)
d1.save()
d1.condition_limit_products.add(item2)
d1.benefit_limit_products.add(item)
positions = (
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('40.00'), False, False, Decimal('50.00')),
(item.pk, None, None, Decimal('40.00'), False, False, Decimal('50.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('40.00'),
Decimal('40.00'),
Decimal('0.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_discount_subgroup_cheapest_n_min_count(event, item, item2):
# "For every 4 products, you get one free, but only of type item"
d1 = Discount(
event=event,
condition_min_count=4,
condition_all_products=False,
benefit_discount_matching_percent=100,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_same_products=False,
)
d1.save()
d1.condition_limit_products.add(item)
d1.condition_limit_products.add(item2)
d1.benefit_limit_products.add(item)
positions = (
# 11 items of item2, which contribute to the total count of 15, but do not get reduced
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('100.00'), False, False, Decimal('0.00')),
# 4 items of item, of which 3 of the cheapest will be reduced
(item.pk, None, None, Decimal('110.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('110.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('90.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('100.00'),
Decimal('110.00'),
Decimal('0.00'),
Decimal('0.00'),
Decimal('0.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_discount_other_products_min_value(event, item, item2):
# "If you buy item1 for at least €99, you get all item2 for 20% off"
d1 = Discount(
event=event,
condition_min_value=99,
condition_all_products=False,
benefit_discount_matching_percent=20,
benefit_same_products=False,
)
d1.save()
d1.condition_limit_products.add(item)
d1.benefit_limit_products.add(item2)
positions = (
(item.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('50.00'),
Decimal('23.00'),
Decimal('23.00'),
Decimal('23.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
positions = (
(item.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
)
expected = (
Decimal('50.00'),
Decimal('50.00'),
Decimal('18.40'),
Decimal('18.40'),
Decimal('18.40'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_multiple_discounts_with_benefit_condition_overlap(event, item, item2):
# "For every 5 item2, you get one item1 for 20 % off." + "For every two item1, you get one 10% off."
d1 = Discount(
event=event,
condition_min_count=5,
condition_all_products=False,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_discount_matching_percent=20,
benefit_same_products=False,
position=1,
)
d1.save()
d1.condition_limit_products.add(item2)
d1.benefit_limit_products.add(item)
d2 = Discount(
event=event,
condition_min_count=2,
condition_all_products=False,
benefit_only_apply_to_cheapest_n_matches=1,
benefit_discount_matching_percent=10,
benefit_same_products=True,
position=2,
)
d2.save()
d2.condition_limit_products.add(item)
positions = (
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
)
expected = (
# item2 remains untouched
Decimal('50.00'),
Decimal('50.00'),
Decimal('50.00'),
Decimal('50.00'),
Decimal('50.00'),
Decimal('50.00'),
# one item is reduced 20% because we have >5 item2
Decimal('18.40'),
# one item is reduced 10% because it's part of a group of two
Decimal('20.70'),
# two remain full price
Decimal('23.00'),
Decimal('23.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
@pytest.mark.django_db
@scopes_disabled()
def test_multiple_discounts_with_same_condition(event, item, item2, item3):
# "For every 1 item1, you get three item2 for 10 % off." + "For every 1 item1, you get five item3 for 10 % off."
d1 = Discount(
event=event,
condition_min_count=1,
condition_all_products=False,
benefit_only_apply_to_cheapest_n_matches=3,
benefit_discount_matching_percent=10,
benefit_same_products=False,
position=1,
)
d1.save()
d1.condition_limit_products.add(item)
d1.benefit_limit_products.add(item2)
d2 = Discount(
event=event,
condition_min_count=1,
condition_all_products=False,
benefit_only_apply_to_cheapest_n_matches=5,
benefit_discount_matching_percent=10,
benefit_same_products=False,
position=2,
)
d2.save()
d2.condition_limit_products.add(item)
d2.benefit_limit_products.add(item3)
positions = (
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item3.pk, None, None, Decimal('42.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item2.pk, None, None, Decimal('50.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
(item.pk, None, None, Decimal('23.00'), False, False, Decimal('0.00')),
)
expected = (
# both item1 remain full price
Decimal('23.00'),
Decimal('23.00'),
# 5 item3 discounted
Decimal('37.80'),
Decimal('37.80'),
Decimal('37.80'),
Decimal('37.80'),
Decimal('37.80'),
# 2 item2 discounted
Decimal('45.00'),
Decimal('45.00'),
# 1 item3 remains untouched
Decimal('42.00'),
)
new_prices = [p for p, d in apply_discounts(event, 'web', positions)]
assert sorted(new_prices) == sorted(expected)
Reference in New Issue View Git Blame Copy Permalink