def new_post():
form = PostForm()
print("new_post")
if form.validate_on_submit():
new_post = Post()
new_post.title = form.title.data
new_post.text = form.text.data
new_post.publish_date = datetime.datetime.now()
user = User.objects(id=current_user.id).first()
new_post.user = user
new_post.save()
return render_template('new.html', form=form)
def process_submission(self, post):
print('Post Recieved')
try:
from webapp.models import Post, Review
except django.core.exceptions.AppRegistryNotReady:
return False
if "[review]" in post.title.lower():
try:
p_exists = Post.objects.get(id=post.id)
print('Post in Database')
return False
except Post.DoesNotExist:
pass
p = Post(user=post.author.name,
date=post.created,
link=post.url,
id=post.id,
title=post.title)
p.save()
print(post.title + ' is not in the database, adding')
split_selftext = post.selftext.split('\n')
index, review_start_index, review_end_index = 0, -1, -1
while (index < len(split_selftext)):
if (review_start_index == review_end_index
and "|" in split_selftext[index]):
review_start_index = index
elif (review_start_index != review_end_index
and "|" in split_selftext[index]):
review_end_index = index
index += 1
if (review_start_index == -1 or review_end_index == -1):
return []
r_list = parse.parse_review(
split_selftext[review_start_index:review_end_index + 1], p)
for r in r_list:
r.save()
def scrape_post(post):
if "[review]" in post.title.lower():
print("Run Scraper")
try:
p_exists = Post.objects.get(id=post.id)
return
except Post.DoesNotExist:
pass
p = Post(user=post.author.name,
date=parse.parse_date(post.created),
link=post.url,
id=post.id,
title=post.title)
p.save()
pprint(('Post: ' + str(p)))
split_selftext = post.selftext.split('\n')
index, review_start_index, review_end_index = 0, -1, -1
while (index < len(split_selftext)):
if (review_start_index == review_end_index
and "|" in split_selftext[index]):
review_start_index = index
elif (review_start_index != review_end_index
and "|" in split_selftext[index]):
review_end_index = index
index += 1
if (review_start_index == -1 or review_end_index == -1):
return []
r_list = parse.parse_review(
split_selftext[review_start_index:review_end_index + 1], p)
for r in r_list:
p.review_set.create(user=r.user,
date=post.created,
itemName=r.itemName,
itemLink=r.itemLink,
itemReview=r.itemReview,
itemSize=r.itemSize,
itemPic=r.itemPic)
def add(request): #broker
if request.method == 'POST':
resp = request.body.decode('UTF-8')
data = json.loads(resp)
lista = Adapters.objects.filter(ativo=1).values("rid")
if data["to"] == 1:
isRecomendation = False
for i in lista:
if i["rid"] in (
data["id"]).split(" "): #clique de recomendacao
isRecomendation = True
adapter = i["rid"]
break
post_data = Post(data["ip"], data["idUser"], data["idClick"],
data["classe"], data["texto"], data["current"],
data["href"], data["timestamp"],
data["dateTimestamp"], data["dateR"])
post_data.save() #salva o clique na tabela ClickStream
if isRecomendation: #salva na tabela recomendações acessadas caso o clique proveio de uma recomendação
post_data = RecomendacaoAcessada(adapter,
data["idClick"],
date=data["dateR"])
post_data.save()
return HttpResponse(status=204)
else: #gerar recomendacao
dados = Post.objects.get(idClick=data["idClick"])
for i in lista:
if i["rid"] == data["iden"]:
recomendador = i["rid"] + '.' + i[
"rid"] #nome do recomendador (ou funcao)
try:
recomendador = eval(
recomendador) # executa python dentro da execução
except:
module = __import__("webapp.algorithms." + i["rid"],
fromlist=i["rid"])
recomendador = getattr(module, i["rid"])
finally:
function_output = recomendador(
request,
dados) #saida deverá ser um vetor de links
for each_link in function_output:
post_data = RecomendacaoGerada( #salva as recomendações sugeridas
i["rid"], data["idClick"], each_link,
data["dateR"])
post_data.save()
return JsonResponse({i["rid"]: function_output})
return HttpResponse(status=204)
else:
return HttpResponse(status=204)
