def feed(request):
if request.method == 'POST':
form = TweetForm(request.POST, request.FILES)
if form.is_valid():
tweet = Tweet()
tweet.content = form.cleaned_data['tweet']
tweet.image = form.cleaned_data.get('image')
tweet.user = request.user
tweet.save()
form = TweetForm()
else:
form = TweetForm()
tweets = Tweet.objects.order_by('-post_date')
context = {
'tweets': tweets,
'form': form,
'user': request.user,
}
return render(request, "tweet/feed.html", context)
def get_queryset(self):
#expressão de busca enviada
expression = self.request.query_params.get('search')
if (expression):
#codifica a expressão para o padrão utilizado na web
search_word = requests.utils.quote(expression)
API_KEY = '5MU3Vu3zXm6xn0XQuIZzg2Q1I'
API_SECRET = 'huaphtigFjD0riKGuT9rZHig6RCCr0zR7eeBsNvZtldcXCYnQz'
ACCESS_TOKEN = '27258579-r6APNk6Y1mracJWcdAln3C6NsC5hj9dZKG8G2f654'
ACCESS_TOKEN_SECRET = 'ulF8lFGppaeqEoA7TS17IGAnCMYjsI8QinyGLTI8uCQHP'
session = OAuth1Session(API_KEY, API_SECRET, ACCESS_TOKEN,
ACCESS_TOKEN_SECRET)
url = "https://api.twitter.com/1.1/search/tweets.json?lang=pt&q=" + search_word + "&count=30&tweet_mode=extended"
response = session.get(url)
tweets = json.loads(response.content.decode('utf-8'))
#armazena os dados dos usuarios
user_data = []
#armazena os tweets dos usuários para posterior classificação
user_tweets = []
for t in tweets['statuses']:
#converte a data para o timezone do Brasil
d = datetime.strptime(
t['created_at'], '%a %b %d %H:%M:%S %z %Y').replace(
tzinfo=timezone.utc).astimezone(
pytz.timezone('America/Sao_Paulo')).strftime(
'%Y-%m-%d %H:%M:%S')
data = {
"data": d,
"username": t['user']['screen_name'],
"tweet_id": t['id'],
"tweet": t['full_text']
}
user_data.append(data)
user_tweets.append(t['full_text'])
#carrega o modelo gravado em arquivo
text_clf = pickle.load(
open(settings.MEDIA_ROOT + "/model.sav", 'rb'))
#classifica os tweets
predicted = text_clf.predict(user_tweets)
#salva o termo de busca
search = Search()
search.expression = expression
search.save()
for x in range(len(predicted)):
user_model = Tweet()
user_model.user = user_data[x]['username']
user_model.tweet_date = user_data[x]['data']
user_model.tweet_id = user_data[x]['tweet_id']
user_model.tweet_text = user_data[x]['tweet']
user_model.classification = predicted[x]
user_model.search = search
user_model.save()
return Tweet.objects.filter(search=search)
elif (self.request.query_params.get('search_id')):
search_id = self.request.query_params.get('search_id')
return Tweet.objects.filter(search=search_id)
else:
return Tweet.objects.all()