82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
import itertools
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from django.db.models import Sum
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from registrasion.models import commerce
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from registrasion.models import inventory
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from .category import CategoryController
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from .conditions import ConditionController
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from .flag import FlagController
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class ProductController(object):
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def __init__(self, product):
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self.product = product
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@classmethod
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def available_products(cls, user, category=None, products=None):
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''' Returns a list of all of the products that are available per
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flag conditions from the given categories.
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TODO: refactor so that all conditions are tested here and
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can_add_with_flags calls this method. '''
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if category is None and products is None:
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raise ValueError("You must provide products or a category")
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if category is not None:
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all_products = inventory.Product.objects.filter(category=category)
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all_products = all_products.select_related("category")
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else:
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all_products = []
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if products is not None:
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all_products = set(itertools.chain(all_products, products))
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cat_quants = dict(
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(
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category,
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CategoryController(category).user_quantity_remaining(user),
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)
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for category in set(product.category for product in all_products)
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)
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passed_limits = set(
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product
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for product in all_products
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if cat_quants[product.category] > 0
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if cls(product).user_quantity_remaining(user) > 0
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)
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failed_and_messages = FlagController.test_flags(
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user, products=passed_limits
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)
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failed_conditions = set(i[0] for i in failed_and_messages)
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out = list(passed_limits - failed_conditions)
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out.sort(key=lambda product: product.order)
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return out
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def user_quantity_remaining(self, user):
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''' Returns the quantity of this product that the user add in the
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current cart. '''
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prod_limit = self.product.limit_per_user
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if prod_limit is None:
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# Don't need to run the remaining queries
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return 999999 # We can do better
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carts = commerce.Cart.objects.filter(
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user=user,
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status=commerce.Cart.STATUS_PAID,
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)
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items = commerce.ProductItem.objects.filter(
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cart__in=carts,
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product=self.product,
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)
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prod_count = items.aggregate(Sum("quantity"))["quantity__sum"] or 0
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return prod_limit - prod_count
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