def handle_uploaded_file(request, file):
if not request.user.is_authenticated or not request.user.is_active:
return redirect("/auth/")
document = pandas.read_csv(file)
if "Title" not in document or "Category ID" not in document or "Subcategory ID" not in document:
return "error"
book_names = document["Title"]
category_names = document["Category ID"]
subcategory_names = document["Subcategory ID"]
for book_name, category_name, subcategory_name in zip(book_names, category_names, subcategory_names):
book = Book(book_name=book_name, category_name=category_name, subcategory_name=subcategory_name)
book.save()
return "success"
train_dataset_from_user_upload()
def add_predictions(request) :
print "i was here"
if not ( request.user.is_authenticated() or request.user.is_active == True):
return redirect("/auth/")
if request.method == 'POST' :
print "here"
predictions_list = json.loads(request.POST.get('predictions'))
print predictions_list
for prediction in predictions_list :
#print prediction
p = Prediction.objects.get(id = prediction)
#print p.category_name
print p
p.is_added = "1"
p.save()
book = Book(book_name = p.book_name , category_name = p.category_name, subcategory_name = p.subcategory_name)
book.save()
train_dataset_from_predictions()
return HttpResponse("done")
