def apply_promo_store(userid, store_name):
itemlist = find_shelf(userid, store_name)
num_items = len(itemlist)
print "Apply_promo: We have " + str(num_items) + " items in " + store_name + " shelf."
total_combinations = 1 << (num_items)
total_combinations -= 1
print "Total combination: " + str(total_combinations)
date_ = datetime.date.today()
promo_date = Promoinfo.objects.filter(d=date_)
if store_name == "Express":
i = 0
if store_name == "J.Crew":
i = 1
promo = promo_date.filter(store__id=i)
# for all possible combinations
# find the price by calling match.py
# upper bound is total_combinations+1 because we are starting with index 1
# and that is because we don't want to calculate discount for an empty wishlist
# which will happen when j = 0
for j in range(1, total_combinations + 1):
wishlist = find_combination(itemlist, j)
cached_result, digest = check_if_combination_exists(wishlist)
if cached_result == None:
print "No, didn't find result for list " + str(j) + " in cache, so storing it"
orig_cost, total_cost, savings, shipping = match.match(store_name, date_, copy.deepcopy(wishlist), promo)
# store this result
new_result = StoreItemCombinationResults(
combination_id=digest, price=orig_cost, saleprice=total_cost, free_shipping=shipping
)
new_result.save()
print "Done with apply_promo_store"
def apply_promo(request, d1, d2):
if "u" in request.GET and request.GET["u"]:
userid = urllib.unquote(request.GET["u"].decode("utf-8"))
result_list = {}
# for each store-shelf
shelf_per_store = find_shelf_store_based_for_user(userid)
for i in range(0, len(shelf_per_store)):
# how many items in this shelf
store_name = stores[i]
num_items = len(shelf_per_store[store_name])
print "Apply_promo: We have " + str(num_items) + " items in " + store_name + " shelf."
total_combinations = 1 << (num_items)
total_combinations -= 1
print "Total combination: " + str(total_combinations)
date_ = datetime.date.today()
promo_date = Promoinfo.objects.filter(d=date_)
promo = promo_date.filter(store__id=i)
# for all possible combinations
# find the price by calling match.py
# upper bound is total_combinations+1 because we are starting with index 1
# and that is because we don't want to calculate discount for an empty wishlist
# which will happen when j = 0
itemlist = []
for j in range(1, total_combinations + 1):
wishlist = find_combination(shelf_per_store[store_name], j)
cached_result, digest = check_if_combination_exists(wishlist)
if cached_result == None:
print "No, didn't find result for list " + str(j) + " in cache, so storing it"
orig_cost, total_cost, savings, shipping = match.match(
store_name, date_, copy.deepcopy(wishlist), promo
)
# store this result
new_result = StoreItemCombinationResults(
combination_id=digest, price=orig_cost, saleprice=total_cost, free_shipping=shipping
)
new_result.save()
else:
print "Great, found the result! Using it here."
orig_cost = cached_result.price
total_cost = cached_result.saleprice
savings = cached_result.price - cached_result.saleprice
shipping = cached_result.free_shipping
print "RESULT:: " + str(j) + " " + str(store_name) + " " + str(orig_cost) + " " + str(
total_cost
) + " " + str(savings)
itemlist.append(
{"orig_cost": orig_cost, "total_cost": total_cost, "savings": savings, "shipping": shipping}
)
result_list[store_name] = itemlist
return list_detail.object_list(
request,
queryset=WishlistI.objects.none(),
template_name="apply_promo.html",
extra_context={"uid": userid, "result_list": result_list},
)
def apply_promo_store(userid, store_name):
itemlist = find_shelf(userid, store_name)
num_items = len(itemlist)
print "Apply_promo: We have " + str(
num_items) + " items in " + store_name + " shelf."
total_combinations = 1 << (num_items)
total_combinations -= 1
print "Total combination: " + str(total_combinations)
date_ = datetime.date.today()
promo_date = Promoinfo.objects.filter(d=date_)
if store_name == "Express":
i = 0
if store_name == "J.Crew":
i = 1
promo = promo_date.filter(store__id=i)
# for all possible combinations
# find the price by calling match.py
# upper bound is total_combinations+1 because we are starting with index 1
# and that is because we don't want to calculate discount for an empty wishlist
# which will happen when j = 0
for j in range(1, total_combinations + 1):
wishlist = find_combination(itemlist, j)
cached_result, digest = check_if_combination_exists(wishlist)
if cached_result == None:
print "No, didn't find result for list " + str(
j) + " in cache, so storing it"
orig_cost, total_cost, savings, shipping = match.match(
store_name, date_, copy.deepcopy(wishlist), promo)
# store this result
new_result = StoreItemCombinationResults(
combination_id=digest,
price=orig_cost,
saleprice=total_cost,
free_shipping=shipping,
)
new_result.save()
print "Done with apply_promo_store"
def apply_promo(request, d1, d2):
if 'u' in request.GET and request.GET['u']:
userid = urllib.unquote(request.GET['u'].decode('utf-8'))
result_list = {}
#for each store-shelf
shelf_per_store = find_shelf_store_based_for_user(userid)
for i in range(0, len(shelf_per_store)):
# how many items in this shelf
store_name = stores[i]
num_items = len(shelf_per_store[store_name])
print "Apply_promo: We have " + str(
num_items) + " items in " + store_name + " shelf."
total_combinations = 1 << (num_items)
total_combinations -= 1
print "Total combination: " + str(total_combinations)
date_ = datetime.date.today()
promo_date = Promoinfo.objects.filter(d=date_)
promo = promo_date.filter(store__id=i)
# for all possible combinations
# find the price by calling match.py
# upper bound is total_combinations+1 because we are starting with index 1
# and that is because we don't want to calculate discount for an empty wishlist
# which will happen when j = 0
itemlist = []
for j in range(1, total_combinations + 1):
wishlist = find_combination(shelf_per_store[store_name], j)
cached_result, digest = check_if_combination_exists(wishlist)
if cached_result == None:
print "No, didn't find result for list " + str(
j) + " in cache, so storing it"
orig_cost, total_cost, savings, shipping = match.match(
store_name, date_, copy.deepcopy(wishlist), promo)
# store this result
new_result = StoreItemCombinationResults(
combination_id=digest,
price=orig_cost,
saleprice=total_cost,
free_shipping=shipping,
)
new_result.save()
else:
print "Great, found the result! Using it here."
orig_cost = cached_result.price
total_cost = cached_result.saleprice
savings = cached_result.price - cached_result.saleprice
shipping = cached_result.free_shipping
print "RESULT:: " + str(j) + " " + str(store_name) + " " + str(
orig_cost) + " " + str(total_cost) + " " + str(savings)
itemlist.append({
"orig_cost": orig_cost,
"total_cost": total_cost,
"savings": savings,
"shipping": shipping,
})
result_list[store_name] = itemlist
return list_detail.object_list(request,
queryset=WishlistI.objects.none(),
template_name="apply_promo.html",
extra_context={
'uid': userid,
'result_list': result_list,
})
