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