2016-03-25 07:09:24 +00:00
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import itertools
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2016-05-01 02:42:06 +00:00
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from .batch import BatchController
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from .conditions import ConditionController
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2016-04-22 05:06:24 +00:00
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from registrasion.models import commerce
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from registrasion.models import conditions
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2016-03-25 07:09:24 +00:00
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2016-04-27 01:46:44 +00:00
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from django.db.models import Case
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2016-04-29 00:08:21 +00:00
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from django.db.models import F, Q
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2016-03-25 07:09:24 +00:00
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from django.db.models import Sum
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2016-04-27 01:46:44 +00:00
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from django.db.models import Value
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from django.db.models import When
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2016-03-25 07:09:24 +00:00
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class DiscountAndQuantity(object):
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2016-04-26 00:52:56 +00:00
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''' Represents a discount that can be applied to a product or category
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for a given user.
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Attributes:
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discount (conditions.DiscountBase): The discount object that the
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clause arises from. A given DiscountBase can apply to multiple
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clauses.
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clause (conditions.DiscountForProduct|conditions.DiscountForCategory):
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A clause describing which product or category this discount item
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applies to. This casts to ``str()`` to produce a human-readable
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version of the clause.
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quantity (int): The number of times this discount item can be applied
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for the given user.
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'''
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2016-03-25 07:09:24 +00:00
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def __init__(self, discount, clause, quantity):
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self.discount = discount
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self.clause = clause
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self.quantity = quantity
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2016-03-27 08:25:24 +00:00
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def __repr__(self):
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2016-04-06 08:28:33 +00:00
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return "(discount=%s, clause=%s, quantity=%d)" % (
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2016-03-27 08:25:24 +00:00
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self.discount, self.clause, self.quantity,
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)
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2016-03-25 07:09:24 +00:00
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2016-04-28 02:20:36 +00:00
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class DiscountController(object):
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2016-04-28 02:20:36 +00:00
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@classmethod
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def available_discounts(cls, user, categories, products):
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2016-04-28 02:39:20 +00:00
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''' Returns all discounts available to this user for the given
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categories and products. The discounts also list the available quantity
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for this user, not including products that are pending purchase. '''
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2016-04-27 01:46:44 +00:00
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2016-04-30 11:42:02 +00:00
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filtered_clauses = cls._filtered_clauses(user)
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2016-04-30 22:47:53 +00:00
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# clauses that match provided categories
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categories = set(categories)
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# clauses that match provided products
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products = set(products)
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# clauses that match categories for provided products
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product_categories = set(product.category for product in products)
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# (Not relevant: clauses that match products in provided categories)
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all_categories = categories | product_categories
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filtered_clauses = (
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clause for clause in filtered_clauses
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if hasattr(clause, 'product') and clause.product in products or
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hasattr(clause, 'category') and clause.category in all_categories
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)
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discounts = []
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# Markers so that we don't need to evaluate given conditions
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# more than once
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accepted_discounts = set()
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failed_discounts = set()
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for clause in filtered_clauses:
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discount = clause.discount
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cond = ConditionController.for_condition(discount)
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2016-04-29 00:08:21 +00:00
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past_use_count = clause.past_use_count
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if past_use_count >= clause.quantity:
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# This clause has exceeded its use count
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pass
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elif discount not in failed_discounts:
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# This clause is still available
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is_accepted = discount in accepted_discounts
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if is_accepted or cond.is_met(user, filtered=True):
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# This clause is valid for this user
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discounts.append(DiscountAndQuantity(
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discount=discount,
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clause=clause,
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quantity=clause.quantity - past_use_count,
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))
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accepted_discounts.add(discount)
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else:
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# This clause is not valid for this user
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failed_discounts.add(discount)
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return discounts
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@classmethod
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@BatchController.memoise
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def _filtered_clauses(cls, user):
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'''
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Returns:
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Sequence[DiscountForProduct | DiscountForCategory]: All clauses
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that passed the filter function.
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'''
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types = list(ConditionController._controllers())
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discounttypes = [
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i for i in types if issubclass(i, conditions.DiscountBase)
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]
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2016-04-30 22:47:53 +00:00
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product_clauses = conditions.DiscountForProduct.objects.all()
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product_clauses = product_clauses.select_related(
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2016-05-01 04:07:29 +00:00
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"discount",
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2016-04-28 02:20:36 +00:00
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"product",
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"product__category",
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)
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category_clauses = conditions.DiscountForCategory.objects.all()
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category_clauses = category_clauses.select_related(
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"category",
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"discount",
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)
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2016-04-30 22:47:53 +00:00
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valid_discounts = conditions.DiscountBase.objects.all()
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all_subsets = []
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for discounttype in discounttypes:
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discounts = discounttype.objects.filter(id__in=valid_discounts)
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ctrl = ConditionController.for_type(discounttype)
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discounts = ctrl.pre_filter(discounts, user)
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all_subsets.append(discounts)
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filtered_discounts = list(itertools.chain(*all_subsets))
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2016-04-28 02:39:20 +00:00
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# Map from discount key to itself
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# (contains annotations needed in the future)
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from_filter = dict((i.id, i) for i in filtered_discounts)
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2016-04-29 00:08:21 +00:00
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clause_sets = (
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2016-04-30 22:47:53 +00:00
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product_clauses.filter(discount__in=filtered_discounts),
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category_clauses.filter(discount__in=filtered_discounts),
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)
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clause_sets = (
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cls._annotate_with_past_uses(i, user) for i in clause_sets
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)
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# The set of all potential discount clauses
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discount_clauses = set(itertools.chain(*clause_sets))
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2016-04-28 02:20:36 +00:00
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# Replace discounts with the filtered ones
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# These are the correct subclasses (saves query later on), and have
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# correct annotations from filters if necessary.
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for clause in discount_clauses:
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clause.discount = from_filter[clause.discount.id]
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return discount_clauses
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@classmethod
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def _annotate_with_past_uses(cls, queryset, user):
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''' Annotates the queryset with a usage count for that discount claus
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by the given user. '''
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if queryset.model == conditions.DiscountForCategory:
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matches = (
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Q(category=F('discount__discountitem__product__category'))
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)
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elif queryset.model == conditions.DiscountForProduct:
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matches = (
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Q(product=F('discount__discountitem__product'))
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)
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in_carts = (
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Q(discount__discountitem__cart__user=user) &
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Q(discount__discountitem__cart__status=commerce.Cart.STATUS_PAID)
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)
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past_use_quantity = When(
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in_carts & matches,
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then="discount__discountitem__quantity",
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)
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past_use_quantity_or_zero = Case(
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past_use_quantity,
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default=Value(0),
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)
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2016-04-28 02:39:20 +00:00
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queryset = queryset.annotate(
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past_use_count=Sum(past_use_quantity_or_zero)
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)
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return queryset
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