def main():
with open(filename, 'rb') as csvfile:
csvfile.readline()
reader = csv.reader(csvfile)
for row in reader:
t = Tweet( row[0], row[1], row[2], row[3], row[4], row[5], row[6], int(row[7]), int(row[8]), int(row[9]) )
tweets.append(t)
top_retweets = sorted(tweets, key = lambda t: t.get_retweets(), reverse=True)
top_replies = sorted(tweets, key = lambda t: t.get_replies(), reverse=True)
top_favs = sorted(tweets, key = lambda t: t.get_favs(), reverse=True)
data = [top_retweets, top_replies, top_favs]
print "Welcome to the Twitter Metrics Parser"
print "1) Top RTs"
print "2) Top Replies"
print "3) Top Favs"
print ""
selection = int(raw_input("Please select what data you are interested in: "))
print ""
while selection > len(data) or selection < 1:
print "*** That is not a valid selection ****"
selection = int(raw_input("Please select what data you are interested in: "))
lst = data[ selection - 1 ]
for i in range(top_count):
print "--- #" + str(i+1) + " ---"
print lst[i]
def get_tweets(search_string, result_type, time_range):
api = twitter.Api(
consumer_key='7SVoyHlwYgm90Y5HSzmTzUQ9O',
consumer_secret='D0crcrKca9S3TXuqGRPYhzBN0LJut34MecER8Ly8fb3xrM0Gja',
access_token_key='1199488399238926336-1jV9xq8bs4zdP5qiq96cUwP5GF1Fuz',
access_token_secret='71hibaH8BPkPwCytm5CH9N4RJonaRCrSKUqG9y3dwo2Ix')
tweets = {}
search = "q=" + str(search_string) + "%20&result_type=" + str(
result_type) + "&since=" + str(time_range) + "&count=100"
print(search)
results = api.GetSearch(raw_query=search)
i = 0
for result in results:
json_result = json.loads(str(result))
t = Tweet(json_result['user']['profile_image_url'],
json_result['user']['name'], json_result['text'],
json_result['created_at'], json_result['hashtags'])
if 'retweet_count' in json_result:
t.retweet_count = json_result['retweet_count']
if 'favorite_count' in json_result:
t.favorite_count = json_result['favorite_count']
tweets[i] = t
i += 1
return tweets
def getTraindata(bpfile="Datasets/Train/Sentiment Analysis Dataset.csv",
mpfile="Datasets/Train/smileannotationsfinal.csv",
mode="mp",
emojis=None):
mpdata = []
bpdata = []
if mode == "mp":
file = mpfile
else:
file = bpfile
fp = open(file, "r")
for line in fp:
tokens = line.split(',')
labels = tokens[2].split('|')
if labels[0] in Emotions:
label = Emotions[labels[0]]
t1 = Tweet(tokens[1], label)
t1.processTweet(emojis=emojis)
mpdata.append(t1)
fp.close()
return mpdata
def post(self):
self.response.headers["Content-Type"] = "text/html"
share_text = self.request.get("share_text")
share_image = self.request.get("share_image")
if share_text != None or share_text != "":
share_type = self.request.get("share_type")
if share_type == "Update":
edit_tweet_id = self.request.get("edit_tweet_id")
edit_tweet = Services().get_tweet(tweet_id=edit_tweet_id)
edit_tweet.share_text = share_text
edit_tweet.put()
else:
myuser = Services().get_login_user()
tweet = Tweet(share_text=share_text,
user_id=myuser.key.id(),
user_name=myuser.user_name,
time=datetime.datetime.now())
tweet.put()
myuser.tweet_ids.append(tweet.key.id())
myuser.put()
self.redirect("/")
def average_degree(self):
try:
stats_fh = open(self.output_file, 'w')
except IOError:
print 'Cannot open', self.output_file
try:
tweet_fh = open(self.input_file)
except IOError:
print 'Cannot open', self.input_file
else:
tweets = tweet_fh.readlines()
graph = tweet_graph()
for tweet_line in tweets:
tweet_dec = json.loads(tweet_line)
# Ignore tweets with "limit"
if "limit" in tweet_dec.keys():
continue
cur_tweet = Tweet(tweet_dec)
hashtags = cur_tweet.get_hashtags()
cur_ts = datetime.strptime(cur_tweet.get_timestamp(),
self.format)
# Ignore tweets with one or zero hashtags
# It will only be used to evict old tweets from the graph
if (len(hashtags) >= 2):
for hashtag in hashtags:
graph.add_vertex(hashtag, cur_ts)
edges = self.pairwise(hashtags)
for edge in edges:
graph.add_edge(graph.get_vertex(edge[0]),
graph.get_vertex(edge[1]), cur_ts)
else:
graph.evict(cur_ts)
av_degree = graph.average_degree()
stats_fh.write(("%0.2f" % av_degree) + "\n")
if self.tracker_en:
self.ad_tracker.append(av_degree)
(peak_degree, peak_node) = graph.peak_degree()
self.pd_tracker.append(peak_degree)
self.pn_tracker.append(peak_node)
if self.self_checking:
if not graph.check_graph(cur_ts):
print "Self Checking Failed at " + str(cur_ts)
tweet_fh.close()
if not stats_fh.closed:
stats_fh.close()
def fetch(query,
output_file=sys.stdout,
debug_file=None,
lang="en",
geocode="",
max_count=500000):
'''
Fetches query results into output_files, and prints raw json results into debug_file
'''
auth = OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
api = API(auth,
retry_count=10,
retry_delay=15,
timeout=60,
wait_on_rate_limit=True,
wait_on_rate_limit_notify=True)
print("QUERY:[", query, "]", "OUTPUT:", output_file.name, file=output_file)
count = 0
ok_count = 0
for result in Cursor(api.search, q=query, lang=lang).items(max_count):
if debug_file: print(result.text + "\n", file=debug_file)
tweet = Tweet(result.text)
t = tweet.preprocess()
if t and tweet.isTagged():
print(",".join(tweet.hashtags) + "\t" + t, file=output_file)
ok_count += 1
count += 1
if count % 1000 == 0: print("tweets saved:", ok_count, "/", count)
print("Loop end:", ok_count, "/", count, "tweets saved")
def average_degree(self):
try:
stats_fh = open(self.output_file, 'w')
except IOError:
print 'Cannot open', self.output_file
try:
tweet_fh = open(self.input_file)
except IOError:
print 'Cannot open', self.input_file
else:
tweets = tweet_fh.readlines()
graph = tweet_graph()
for tweet_line in tweets:
tweet_dec = json.loads(tweet_line)
# Ignore tweets with "limit"
if "limit" in tweet_dec.keys():
continue
cur_tweet = Tweet(tweet_dec)
hashtags = cur_tweet.get_hashtags()
cur_ts = datetime.strptime(cur_tweet.get_timestamp(), self.format)
# Ignore tweets with one or zero hashtags
# It will only be used to evict old tweets from the graph
if (len(hashtags) >= 2):
for hashtag in hashtags:
graph.add_vertex(hashtag, cur_ts)
edges = self.pairwise(hashtags)
for edge in edges:
graph.add_edge(graph.get_vertex(edge[0]),
graph.get_vertex(edge[1]),
cur_ts)
else:
graph.evict(cur_ts)
av_degree = graph.average_degree()
stats_fh.write(("%0.2f" % av_degree) + "\n")
if self.tracker_en:
self.ad_tracker.append(av_degree)
(peak_degree, peak_node) = graph.peak_degree()
self.pd_tracker.append(peak_degree)
self.pn_tracker.append(peak_node)
if self.self_checking:
if not graph.check_graph(cur_ts):
print "Self Checking Failed at " + str(cur_ts)
tweet_fh.close()
if not stats_fh.closed:
stats_fh.close()
def getTraindata(bpfile = "Datasets/Train/Sentiment Analysis Dataset.csv", mpfile = "Datasets/Train/smileannotationsfinal.csv", mode = "mp" ,emojis = None):
mpdata = []
bpdata = []
if mode == "bp":
file = mpfile
else:
file = bpfile
fp = open(file, encoding="utf-8",errors="ignore")
non_bmp_map = dict.fromkeys(range(0x10000, sys.maxunicode + 1), 0xfffd)
i=1
for line in fp:
#line1=line.translate(non_bmp_map)
tokens = line.split(',')
labels = tokens[2].split('|')
if labels[0] in Emotions:
label = Emotions[labels[0]]
t1 = Tweet(tokens[1], label)
t1.processTweet(emojis = emojis)
#print (t1.text)
mpdata.append(t1)
i=i+1
print ("Number of data",i)
#print(mpdata)
fp.close()
## token=mpdata.split(',')
## print(len(token))
# print(len(mpdata))
return mpdata
def collect_tweets(self):
"""
# of hashtags per tweet
# of tweets with hashtags
# mentions per tweet
# of tweets with mentions
URLs per tweet
Tweets with URLs
# special characters per tweet
# Tweets with special characters
Retweets by user
Inter-tweet content similarity: Bag of Words w/ Jaccard and cosine similarity
Duplicate tweets
Duplicate URLs ratio (1-unique URLs/total URLs)
Duplicate Domains Ratio (1-unique domains/total domains)
Duplicate Mentions Ratio (1-unique mentions/ total mentions)
Duplicate hashtags ratio (1-unique hashtags/total hashtags)
"""
for twt in self.f:
tweet = Tweet()
tweet.get_features(twt)
self.tweets.append(tweet)
self.tweet_timings.append(tweet.date)
self.tweet_text.append(tweet.html_text)
self.app_sources.append(tweet.source)
self.retweet_sources.append(tweet.rts)
for url in tweet.urls:
self.urls.append(url['expanded_url'])
self.domains.append(url['display_url'].split('/')[0])
for mention in tweet.mentions:
self.mentions.append(mention['id'])
for hashtag in tweet.hashtags:
self.hashtags.append(hashtag['text'])
def post(self):
self.response.headers["Content-Type"] = "text/html"
text_share = self.request.get("text_share")
share_image = self.request.get("share_image")
if text_share != None or text_share != "":
share_type = self.request.get("share_type")
if share_type == "Update":
edit_tweet_id = self.request.get("edit_tweet_id")
edit_tweet = Definitions().get_tweet(tweet_id=edit_tweet_id)
edit_tweet.text_share = text_share
edit_tweet.put()
else:
myuser = Definitions().get_login_user()
tweet = Tweet(text_share=text_share,
user_id=myuser.key.id(),
user_name=myuser.user_name,
time=datetime.datetime.now())
tweet.put()
myuser.tweets_id.append(tweet.key.id())
myuser.put()
self.redirect("/")
def lambda_handler(event, context):
try:
# Get data from the database
raw_data = get_words_from_database()
# Transform the raw data
data = transform_data_from_database(raw_data)
# Get the keys needed for the Twitter API
access_keys = get_twitter_account_info()
# Create a new Tweet instance
new_tweet = Tweet(access_keys)
# Get last twenty timeline posts
timeline_posts = new_tweet.get_last_twenty_posts()
# Get a random word
message = get_random_word(data, timeline_posts)
print(f'message to post = {message}')
# Post new message to Twitter account
new_tweet.create_new_post(message)
except Exception as error:
message = f'Error occurred during invocation of lambda function. Error = {error}'
print(message)
def extractJson(fileName):
""" Extract tweets from JSON file into a list of Tweets """
tweetList = list()
try:
file = open(fileName, encoding='utf-8')
json_str = file.read()
data = json.loads(json_str)
for tweet in data['results']:
nTweet = Tweet()
nTweet.id = tweet['id']
nTweet.userId = tweet['from_user_id']
nTweet.text = tweet['text']
nTweet.user = tweet['from_user']
nTweet.userName = tweet['from_user_name']
nTweet.profileImgUrlHttp = tweet['profile_image_url']
nTweet.source = tweet['source']
nTweet.toUser = tweet['to_user']
nTweet.date = tweet['created_at']
for mention in tweet['entities']['user_mentions']:
nTweet.userMentions.append(mention["id"])
tweetList.append(nTweet)
file.close()
except(ValueError):
sys.exit("Error while parsing{0}".format(fileName) + "Not a valid JSON file")
return tweetList
def load_tweets_from_csv(fname='../data/annotated_tweets.csv',
preprocess=True,
serialize=True):
# Load the data into memory
print('Loading MTSA csv...')
ids_to_content = defaultdict(lambda: [])
with open(fname) as f:
csv_reader = DictReader(f)
for i, row in enumerate(csv_reader):
ids_to_content[row[ID_KEY]].append(row)
# construct the tweets and labels
bar = ShadyBar('Labelling MTSA', max=len(ids_to_content))
tweets = []
for sample in ids_to_content.values():
bar.next()
csv_twt = sample[0]
# skip the test questions used for crowdflower!
if csv_twt[IS_GOLD_KEY] == 'true':
continue
# build up the tweet statistics of labels
tweet_stats = {s: 0 for s in LABELS}
for labelling in sample:
if labelling[HAS_SENTIMENT_KEY] == 'no':
tweet_stats['obj'] += 1
for key in CSV_LABELS:
if labelling[POS_NEG_COM_KEY] == key:
tweet_stats[key[0:3]] += 1
# Skipping tweet that had < 5 annotations
if sum(tweet_stats.values()) < 5:
continue
# extract the necessary data
tweet = Tweet(csv_twt[TWEET_ID], csv_twt['text'], csv_twt['topic'])
tweet.labelling = tweet_stats
tweets.append(tweet)
bar.finish()
"""
The preprocessing pipeline is: (see preprocessing.py)
(tokenize),
(filter_tokens),
(remove_mentions),
(split_hashtags),
(autocorrect),
(lemmatize)
"""
print('Removed {} tweets that had < 5 annotations.'.format(len(ids_to_content) - len(tweets)))
print('We now have a total of {} tweets in the MTSA.'.format(len(tweets)))
if preprocess:
preprocess_tweets(tweets)
# save data if desired
if serialize:
np.save('../data/processed_annotated_tweets.npy', np.array(tweets))
return tweets
def json_to_tweets(json_input):
tweet = Tweet()
with open(json_input, 'r') as jsonFile:
data = json.load(jsonFile)
for typeID, tweetID in data['id'].items():
tweet.idTweet = int(tweetID)
tweet.text = data['text']
return tweet
def _save_tweet(retrieved_tweet, database):
user = retrieved_tweet.user.name
text = retrieved_tweet.full_text
timestamp = retrieved_tweet.created_at
tweet = Tweet()
tweet.initialize_from_tweet(user, text, timestamp)
return insert_tweet(database, tweet)
def load_data(filename):
tweet_list = []
with open(filename) as input_file:
for line in input_file:
tweet = Tweet()
tweet.load(line)
tweet_list.append(tweet)
return tweet_list
def load_clean_tweets_from_file(self, input_file):
self.tweets = []
# with codecs.open(input_file, 'r', 'utf-8') as fin:
with open(input_file, 'r') as fin:
for line in fin:
tweet = Tweet()
tweet.load_clean(line)
self.tweets.append(tweet)
def get_daily_update() -> Tweet:
"""Return Tweet containing daily update on Infection and Death numbers"""
URL = "https://www.worldometers.info/coronavirus/country/us/"
data = _scrape_worldometers_data(URL)
tweet_str = _construct_tweet_str(data)
tweet = Tweet()
tweet.attach_text(tweet_str)
return tweet
def searchEvent():
results = api.GetSearch("Chicago", lang="en")
for result in results:
logger.logTweet(result)
tweet = Tweet(result.text)
tweet.readTweet()
tweetprocessor.processTweet(tweet)
countAndColor()
def parse_tweets(self):
tweet_list = read_tweet(self.test_file)
for each in tweet_list:
tweet = Tweet(each['id'], each['user'], each['language'],
each['content'])
tweet.get_ngram_words(
vocabulary_type=self.trained_data.vocabulary_type,
ngram_type=self.trained_data.ngram_type,
filter_type=self.trained_data.filter_type)
self.tweets_to_predict.append(tweet)
def computePercentageOfTweetWithKeyword(self, keywords, k):
# no tweet
if len(self._tweet_cluster['tweets']) == 0:
return 0
# compute the percentage of tweets with at least k keywords
occ = 0
for tweet in self._tweet_cluster['tweets']:
tweet = Tweet(tweet)
if tweet.findKeywords(keywords) >= k:
occ += 1
return 1.0 * occ / len(self._tweet_cluster['tweets'])
def computePercentageOfTweetWithKeyword(self, keywords, k): # no tweet if len(self._tweet_cluster['tweets']) == 0: return 0 # compute the percentage of tweets with at least k keywords occ = 0 for tweet in self._tweet_cluster['tweets']: tweet = Tweet(tweet) if tweet.findKeywords(keywords) >= k: occ += 1 return 1.0*occ/len(self._tweet_cluster['tweets'])
def classify_tweets(self):
tweet_list = read_tweet(self.training_file)
for each in tweet_list:
tweet = Tweet(each['id'], each['user'], each['language'],
each['content'])
tweet.get_ngram_words(vocabulary_type=self.vocabulary_type,
ngram_type=self.ngram_type,
filter_type=self.filter_type)
if each['language'] in self.lang_classes:
self.lang_classes[each['language']].add_new_tweet(tweet)
def randomize_tweet(animations, batch, msg):
angle, x, y = randomize_starting_point()
direction = [math.cos(angle), math.sin(angle)]
b = Tweet(msg, animations, direction,
gravity=settings.GRAVITY,
batch=batch)
b.x = x
b.y = y
return b
def load_raw_tweets_from_file(self, input_file):
cnt = 0
with codecs.open(input_file, 'r', 'utf-8') as fin:
for line in fin:
cnt += 1
if cnt % 20000 == 0:
print 'Lines:', cnt, ' Tweets:', len(self.tweets)
try:
tweet = Tweet()
tweet.load_raw(line)
self.tweets.append(tweet)
except:
continue
def searchEvent():
results = api.GetSearch(SEARCH_TERM, lang="en")
# Log tweets outside of timer
for result in results:
logger.logTweet(result)
start_time = time.time()
for result in results:
tweet = Tweet(result.text)
tweet.readTweet()
tweetprocessor.processTweet(tweet)
logger.logTiming("legacy", (time.time() - start_time), tweetprocessor.calcHighest())
countAndColor()
def test_tweet_retrieval(self):
twitter_searcher = TwitterSearcher()
tweet_list = twitter_searcher.simple_search(1)
retrieved_tweet = tweet_list[0]
user = retrieved_tweet.user.name
text = retrieved_tweet.full_text
timestamp = retrieved_tweet.created_at
tweet = Tweet()
tweet.initialize_from_tweet(user, text, timestamp)
self.assertTrue(tweet.user != None)
self.assertTrue(tweet.tweet != None)
def main():
ti = TweetInterface()
ti.setDB('citybeat_production')
ti.setCollection('tweets')
tc = ti.getAllDocuments({'created_time' : {'$gte' : '1378711668'}})
print tc.count()
cnt = 0
for tweet in tc:
tweet = Tweet(tweet)
text = tweet.getText().lower()
if 'quinn' in text:
print text
cnt += 1
print cnt
def select_user_tweet():
if len(twitter_user_list.userList) == 0:
print('User list is empty.')
else:
print('--- USER LIST ---')
twitter_user_list.print_user_name()
user_option_selected = int(input('Select an user (number): '))
user_tweet_text = input('What\'s on your mind?: ')
user_tweet = Tweet(
user_tweet_text,
twitter_user_list.userList[user_option_selected - 1].name)
tweet_user_list.tweets.append(user_tweet)
print(user_tweet.print_twitter_format())
menuApp()
def hosts(self):
"""Returns top 5 candidates for host"""
relevant = [
t for t in self.tweets
if 'hosting' in t.rawtext
]
return Tweet.common_names(relevant)[:5]
def dressed(self):
"""Most talked about their dress"""
relevant = [
t for t in self.tweets
if t.has_tok('dress')
]
return Tweet.common_names(relevant)[:5]
def funny(self):
"""Most talked about for being funny"""
relevant = [
t for t in self.tweets
if t.has_tok('funny')
]
return Tweet.common_names(relevant)[:5]
def get(self):
self.response.headers["Content-Type"] = "text/html"
user_id = self.request.GET.get("user_id")
spectator = True
follow = "Follow"
if user_id != None:
myuser_key = ndb.Key("MyUser", user_id)
myuser = myuser_key.get()
tweets = Tweet.query(Tweet.user_id == myuser.key.id()).fetch(50)
if user_id == str(Definitions().get_login_user().key.id()):
spectator = False
if user_id in Definitions().get_login_user().following:
follow = "Unfollow"
template_values = {
"myuser": myuser,
"follow":follow,
"tweets":tweets,
"spectator":spectator,
}
template = JINJA_ENVIRONMENT.get_template("editpage.html")
self.response.write(template.render(template_values))
def readTweets(tweetIDs, folder, label):
"""
Returns a dictionary containing tweets to the given IDs.
Reads from csv file (name = label.csv) and each line is one tweet; data is tab-separated.
"""
tag_dict = loadTagDictionary()
with codecs.open(folder + label + ".csv", 'r',
encoding='utf-8') as tweetFile:
tweets = tweetFile.read().split("\n")[:-1]
tweet_dict = {}
for tweet in tweets:
tweet = tweet.strip().split("\t")
tweetID = tweet[3].strip()
if tweetID in tweetIDs:
tweet_dict[tweetID] = tweet
return {
tweetID: Tweet(tag_dict[tweetID],
rawTweet=tweet_dict[tweetID],
label=label)
for tweetID in tweet_dict.keys()
}
def tweets(self):
tweets = []
for tweet_obj in self.db:
tweets.append(Tweet(tweet_obj))
return tweets
def display_create_tweet():
# Si la méthode est de type "GET"
if request.method == 'GET':
# On affiche notre formulaire de création
return render_template('create_tweet.html')
else:
# Sinon, notre méthode HTTP est POST
# on va donc créer un nouveau tweet
# récupération du nom de l'auteur depuis le corps de la requête
authorName = request.form['author']
# récupération du contenu depuis le corps de la requête
content = request.form['content']
# Création d'une variable image par défaut vide.
image = None
# récupération de l'image depuis le corps de la requête
f = request.files['image']
# Si il y a bel et bien une image d'uploadé
if f.filename != '':
# On construit le chemin de destination de notre image (où est-ce qu'on va la sauvegarder)
filepath = os.path.join(app.root_path, 'static', 'uploads',
f.filename)
# On sauvegarde notre image dans ce chemin
f.save(filepath)
# création de l'url de l'image pour son affichage (à l'aide de son nom)
image = url_for('static', filename='uploads/' + f.filename)
# Création d'un tweet à l'aide de notre constructeur (qui se trouve dans le fichier tweet.py)
tweet = Tweet(authorName, content, image)
# Insertion de notre tweet en première position dans notre tableau
tweets.insert(0, tweet)
# Redirection vers la liste de nos tweets
return redirect(url_for('display_tweets'))
def loadTweets(filename):
""" Load tweets from a filename.
Returns a list of Tweet objects.
"""
tweets = open(filename, 'r').read().splitlines()
print "Loading %d tweets from %s ..." % (len(tweets), filename)
tweetObjects = []
for tweet in tweets:
try:
js = json.loads(tweet)
if (not ('place' in js)) or js['place'] == None:
continue
elif (not ('full_name' in js['place'])):
continue
elif (not ('geo' in js)) or js['geo'] == None:
continue
elif (not ('coordinates' in js['geo'])):
continue
coords = js['geo']['coordinates']
place = js['place']
tweetObject = Tweet(js['text'], place['full_name'], coords[0],
coords[1], place['country'], js['created_at'])
tweetObjects.append(tweetObject)
except ValueError:
pass
print "Loaded %d tweets" % len(tweetObjects)
return tweetObjects
def index():
REQUESTS.inc()
with EXECPTIONS.count_exceptions():
LAST.set(time.time())
INPROGRESS.inc()
start = time.time()
if request.method == 'POST':
try:
query = request.form['query']
query_vec = vectorizer.transform(
[query]) #(n_docs,x),(n_docs,n_Feats)
results = cosine_similarity(X, query_vec).reshape(
(-1, )) #Cosine Sim with each doc
tweets = []
for i in results.argsort()[-20:][::-1]:
tweets.append(
Tweet(df.iloc[i, 0], df.iloc[i, 2], df.iloc[i, 3]))
INPROGRESS.dec()
lat = time.time()
LATENCY.observe(lat - start)
return render_template('Home.html', query=query, tweets=tweets)
except:
raise Exception
try:
INPROGRESS.dec()
lat = time.time()
LATENCY.observe(lat - start)
LATENCY_HIS.observe(lat - start)
return render_template('Home.html')
except:
raise Exception
def __init__(self, filename):
tweets = []
positiveproportion = 0
negativeproportion = 0
neutralproportion = 0
with open(filename) as f:
reader = csv.reader(f)
for row in reader:
tweet = Tweet(row)
tweets.append(tweet)
if tweet.sentiment > 0:
positiveproportion += 1
elif tweet.sentiment < 0:
negativeproportion += 1
positiveproportion /= len(tweets)
negativeproportion /= len(tweets)
neutralproportion = 1 - positiveproportion - negativeproportion
self.sentimentfractions = [
positiveproportion, negativeproportion, neutralproportion
]
self.tweets = tweets
self.positivesorted = sorted(tweets,
key=lambda i: i.sentiment,
reverse=True)
self.negativesorted = sorted(tweets, key=lambda i: i.sentiment)
def tweets(self, limit=10):
tweets = []
for item in self.collection.find().sort('received_at', desc).limit(limit):
tweet_obj = item
tweets.append(Tweet(tweet_obj))
return tweets
def get_tweets(self, count, lang, **kwargs):
""" Get's tweets from twitter and returns them in a list. By default returns a single tweet
in english. To change language, pass the language code in the parameters.
Args:
count: Number of tweets to be returned.
lang: Language flag by default its set to english (en), pass the
language code to change language.
**kwargs: Arbitrary keyword arguments.
Returns:
List of tweets, in json format.
"""
tweets = []
try:
if "filters" in kwargs:
stream = self._get_filter(kwargs["filters"], kwargs)
else:
stream = self._get_iterator()
for tweet in stream:
tweets.append(Tweet(json.dumps(tweet)))
if count - 1 <= 0:
break
return tweets
except Exception as e:
raise e
def load_tweets():
'''Returns a list of Tweet objects loaded from the path specified in the first sys argument'''
try:
filepath = sys.argv[1]
except:
print("usage: datamining.py filepath")
quit()
return Tweet.fromFile(filepath)
def extractTweets(fileName):
""" Extract tweets from JSON file into a list of Tweets """
tweetList = list()
try:
file = open(fileName)
json_str = file.read()
data = json.loads(json_str)
print("Parsing " + fileName + " ...")
for tweet in data["results"]:
nTweet = Tweet()
nTweet.id = tweet["id"]
nTweet.userId = tweet["from_user_id"]
nTweet.text = tweet["text"]
nTweet.user = tweet["from_user"]
nTweet.userName = tweet["from_user_name"]
nTweet.profileImgUrlHttp = tweet["profile_image_url"]
nTweet.source = tweet["source"]
nTweet.toUser = tweet["to_user"]
nTweet.date = tweet["created_at"]
if "urls" in tweet["entities"]:
for urls in tweet["entities"]["urls"]:
urlStr = urls["url"]
expandedUrl = urls["expanded_url"]
try:
u = urllib.urlopen(expandedUrl)
expandedUrl = u.url
u = None
except IOError as ioe:
print("Error urllib.urlopen")
print("---> URL = {}".format(expandedUrl))
continue
nTweet.urls.append(expandedUrl)
for mention in tweet["entities"]["user_mentions"]:
nTweet.userMentions.append(
{"id": mention["id"], "name": mention["name"], "screenName": mention["screen_name"]}
)
tweetList.append(nTweet)
file.close()
except (ValueError):
sys.exit("Error while parsing {0}".format(fileName) + " Not a valid JSON file")
return tweetList
def twauth(request):
if 'oauth_token' in request.GET and 'oauth_verifier' in request.GET:
tw = Tweet(twitter_settings)
reg = tw.register(oauth_token=request.session['oauth_token'],
oauth_secret=request.session['oauth_token_secret'],
pin=request.GET['oauth_verifier'])
if not reg:
raise Exception, reg
if 'oauth_token_secret' in reg and 'oauth_token' in reg:
pp = PostPlace()
pp.userid = reg['user_id']
pp.sn_type = SNType.objects.get(code='twitter')
pp.access_token = reg['oauth_token']
pp.access_token_secret = reg['oauth_token_secret']
pp.user = request.user
pp.save()
return pp
return False
def clean_tweets(self):
self.num_unicode_tweets = 0
same_tweets_after_clean_cnt = 0
try:
clean_fh = open(self.output_file, "w")
except IOError:
print "Cannot open", self.output_file
try:
tweet_fh = open(self.input_file)
except IOError:
print "Cannot open", self.input_file
else:
tweets = tweet_fh.readlines()
for tweet_line in tweets:
tweet_dec = json.loads(tweet_line)
if "limit" in tweet_dec.keys():
continue
cur_tweet = Tweet(tweet_dec)
clean_fh.write(cur_tweet.to_str() + "\n")
# This portion of code is for basic self checking mechanism
if self.self_checking:
cur_text = cur_tweet.get_text()
if cur_tweet.remove_non_ascii(cur_text) != cur_text:
same_tweets_after_clean_cnt += 1
if not cur_tweet.is_tweet_ascii():
self.num_unicode_tweets += 1
clean_fh.write("\n%d tweets contained unicode" % (self.num_unicode_tweets))
tweet_fh.close()
if self.self_checking and (same_tweets_after_clean_cnt != self.num_unicode_tweets):
print "Self checking failure: " + str(same_tweets_after_clean_cnt) + str(self.num_unicode_tweets)
if not clean_fh.closed:
clean_fh.close()
def load_tweets(api, username_file, load_file):
NUM_USERS = 150
NUM_TWEETS_PER_USER = 1000
TOP_TWEETS_PER_USER = 250
tweets = []
if not os.path.exists(load_file):
sys.stdout.write("Downloading twitter data " +\
"for {} users at {} tweets/user..."\
.format(NUM_USERS, TOP_TWEETS_PER_USER))
users = load_users(username_file, NUM_USERS)
for username in users:
user_tweets = pull_top_tweets_for_user(\
api,\
username,\
NUM_TWEETS_PER_USER,\
TOP_TWEETS_PER_USER\
)
if user_tweets:
sys.stdout.write('.')
tweets.extend(user_tweets)
else:
print "\nFailed to obtain user data for username: {}"\
.format(username)
print "Saving tweet data in {}...".format(load_file)
write_tweets(load_file, tweets)
else:
sys.stdout.write("Loading saved twitter data...")
with open(load_file, 'r') as f:
json_data = f.read()
data = json.loads(json_data, encoding='latin1')
i = 0
for d in data:
i += 1
if i % 2000 == 0:
sys.stdout.write('.')
i = 0
try:
tweet = Tweet.from_dict(d)
tweets.append(tweet)
except TwitterException as e:
e.log()
print "\nDone.\n"
return tweets
def find_presenter(self, tweets):
"""Find the presenter of an award"""
relevant = [
t for t in self.filter_tweets(tweets)
if t.has_tok('pres') # lancaster stems presenter to pres
]
common = Tweet.common_names(relevant)
filtered = [
cand for cand in common
if not ('Best' in cand) and 'Golden Globes' != cand
]
return filtered[:3]
def search(self, term, newsid):
print "search('%s','%s') called." % (term, newsid)
self.redis.incr("news:%s:crawled_tweets" % newsid)
# 1 day
for _ in range(1, 2):
for page in xrange(1, 16):
try:
results = self.twitter.search(q=term, page=("%d" % page))
for tweet_data in results["results"]:
tweet_data["news_id"] = newsid
tweet = Tweet(tweet_data)
tweet.save()
except:
print "Exception: search('%s','%s')" % (term, newsid)
print "-" * 60
traceback.print_exc(file=sys.stdout)
continue
time.sleep(120)
def ParseTweet():
global idfdict,tfdict,tweetObjectdict
# Loop over all lines
f = file('mars_tweets_medium.json', "r")
#f = file('test.json',"r")
i =0
lines = f.readlines()
#tweetObjectdict = {}
for line in lines:
try:
tweet = simplejson.loads(unicode(line),encoding="UTF-8")
#print tweet
t1 = Tweet()
t1.loadtweet(tweet,tfdict)
tweetObjectdict[t1.tid] = t1
i = i+1
except ValueError:
pass
global TotalTweets
TotalTweets = i
return tweetObjectdict
def addUserTweets(self, user):
"""Gets the tweets from a user via its timeline and creates a Tweet object each time"""
try:
timeline = self.corpus.getUserTimeline(self.twitter, user.screen_name)
except urllib.request.HTTPError:
print('An Error Occured, please restart the application.')
tweets = []
for ttweet in timeline:
tweet = Tweet()
tweet.tid = ttweet['id']
tweet.text = ttweet['text']
tweet.createdAt = ttweet['created_at']
tweet.retweeted = ttweet['retweeted']
if (not ttweet['in_reply_to_user_id'] is None):
tweet.isReply = True
tweet.replyTo = ttweet['in_reply_to_user_id']
tweets.append(tweet)
user.tweets = self.createDeltaTimes(tweets)
def get_tweets(self, limit=10, offset=0):
from tweet import Tweet
new_tweets = []
cached_media = memcache.get(self.id) or {}
cached_tweets_json = cached_media.get('tweets') or []
if not cached_tweets_json or limit + offset > len(cached_tweets_json):
tweets = Tweet.all().filter('media =', self)
if len(cached_tweets_json) and offset < len(cached_tweets_json):
latest_time = iso8601.parse_date(cached_tweets_json[0]['time']).replace(tzinfo=None)
tweets = tweets.filter('time >', latest_time)
tweets = tweets.order('-time').fetch(limit, offset=offset)
if tweets and len(tweets):
new_time = tweets[0].time
inserted = False
# Insert by timestamp
for i in range(len(cached_tweets_json)):
time = iso8601.parse_date(cached_tweets_json[i]['time']).replace(tzinfo=None)
if new_time > time:
for t in tweets:
if t.id == cached_tweets_json[i]['id']:
break
new_tweets.append(t.to_json())
inserted = True
if inserted:
new_tweets += cached_tweets_json[i:]
break
new_tweets.append(cached_tweets_json[i])
if not cached_tweets_json or not inserted:
new_tweets = cached_tweets_json + [t.to_json() for t in tweets]
cached_tweets_json = new_tweets if len(new_tweets) else cached_tweets_json
cached_media['tweets'] = cached_tweets_json
memcache.set(self.id, cached_media)
return cached_tweets_json[offset:offset+limit]
if message:
res = vk.VKPost(destination, message, attachments)
try:
js = json.loads(res)
if 'error' in js:
raise Exception, 'error found in vk responce'
else:
print res
except Exception:
destination.enabled = False
destination.save()
if destination.sn_type.code == 'twitter':
message = ""
tw = Tweet(twitter_settings)
tw.login(destination.access_token, destination.access_token_secret)
if item['title']:
message = "%s" % item['title']
if item['attachements']:
for attach in item['attachements']:
message += " %s" % attach['src']
if message:
if tw.post(message):
print 'Twitter f****d'
if destination.sn_type.code == 'fb':
fb_settings['redirect_uri'] = "%s%s" % (HTTP_HOST, reverse('my.views.syncfacebook', args=[sync.id]))
fb = FB(fb_settings, code=destination.access_token)
fb.login()
message = ""
def on_status(self, status): print(status.text) tweet = Tweet(content = status.text) tweet.save()
def setUp(self):
app.config['TESTING'] = True
self.app = app.test_client()
Tweet.create_table(fail_silently=True)
def update_mode():
global MAX_COUNT
global consumer_key
global consumer_secret
global access_token
global access_token_secret
if not os.path.exists("./tweets") or not os.path.exists("./urls"):
sys.stderr.write("First must call init\n")
exit(1)
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
records = codecs.open("tweets", "r", encoding="utf-8")
tweets = []
for line in records:
tweet = Tweet.fill_from_line(line)
if not tweet:
sys.stderr.write("bad tweets file\n")
print line
exit(1)
tweets.append(tweet)
records.close()
tiff = []
tiff = api.user_timeline(screen_name = "TiffanyAlvord", since_id = int(tweets[0].id))
for t in tiff:
urls = {}
index = 0
for x in t.entities["urls"]:
html = urllib2.urlopen(x["expanded_url"])
urls[index] = [x["url"], x["expanded_url"]]
page = open("urls/" + str(t.id) + "-" + str(index) + ".html", "w")
page.write(html.read())
page.close()
index += 1
text = t.text
text = text.replace('\n', '\\n')
tweet = Tweet(t.id, t.user.name, t.user.id, text, t.created_at, urls)
tweets.append(tweet)
tweets = sorted(tweets, reverse = True, key = lambda Tweet: Tweet.id)
old_tweets = tweets[MAX_COUNT:]
for t in old_tweets:
if len(t.urls) > 0:
os.system("rm ./urls/" + str(t.id) + "*")
tweets.remove(t)
records = codecs.open("tweets", "w", encoding="utf-8")
for t in tweets:
t.write_to_file(records)
records.close()
def tweet_counter(self):
from tweet import Tweet
return len(Tweet.objects(poster=self))
from tweet import Tweet
twitter_configuration = {
'consumer_key' : '9yHE3TdYv9cVbVi5tme6C76Gj',
'consumer_secret' : 'noaO55Ra6jxWHYX4HDAo24PRskms7L8ZWMerNEAEeNCdOlbmvI',
'access_token' : '383755446-jhC6SSZ0NoeEz9FSiiQ4SKB1SAZ3KtFUJ3Vzxpbl',
'access_token_secret' : 'yfYvmFgfTCCWiJKug9zM2Yde169XUx75Jyt9sxywTGxQj'
}
############################
tweet = Tweet(twitter_configuration)
tweet.send_tweet()
def new(request):
if not request.user:
return HttpResponseRedirect(reverse('registration.views.login'))
source = None
fields = None
sn_types = SNType.objects.all()
if 'src' in request.GET:
source = request.GET['src']
#rss feed
if source == 'rss':
error = 0
if request.POST:
response = str(feedtest(request))
if response.find('Feed ok') == -1:
error = 1
else:
pp = PostPlace()
pp.sn_type = SNType.objects.get(code='rss')
pp.url = request.POST['feedurl']
pp.user = request.user
pp.save()
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
fields = [
{'name': 'feedurl', 'type': 'text', 'size': 50, 'label': 'Feed URL', 'sort': 0},
#{'name': 'feederror', 'type': 'error', 'message': '!!!!!'},
{'name': 'testfeed', 'type': 'button', 'size': 5, 'value': 'Test feed', 'onclick': 'feedtest();',
'sort': 3},
{'name': 'testfeedresult', 'type': 'alertdiv', 'sort': 4},
{'name': 'feeduptime', 'type': 'select', 'values': [{'value': 30, 'name': '30 min'}],
'label': 'Refresh time', 'sort': 5},
{'name': 'feedsave', 'type': 'submit', 'value': 'Далее', 'sort': 6},
]
if error:
import operator
fields.append({'name': 'feederror', 'type': 'error',
'message': "Не получается разобрать RSS канал. Может в URL ошиблись?", 'sort': 1})
fields.sort(key=operator.itemgetter('sort'))
# vkontakte
if source == 'vk':
pp = vkauth(request)
if pp:
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
fields = [
#{'name': 'message', 'type': 'message', 'message': vk_notice},
{'name': 'vkauth', 'type': 'button', 'size': 5, 'value': 'Авторизация через сайт Vkontakte',
'onclick': 'vkontakteauth(\'%s%s?%s\');' % (HTTP_HOST, reverse('my.views.new'), 'src=vk')},
#{'name': 'token', 'type': 'text', 'size': 50, 'label': 'Token'},
#{'name': 'feedsave', 'type': 'submit', 'value': 'Далее'},
]
# twitter
if source == 'twitter':
pp = twauth(request)
if pp:
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
tw = Tweet(twitter_settings)
register = tw.register(
callbackurl="%s%s?src=twitter" % (HTTP_HOST, reverse('my.views.new')))
request.session['oauth_token_secret'] = register['data']['oauth_token_secret']
request.session['oauth_token'] = register['data']['oauth_token']
fields = [
{'name': 'twauth', 'type': 'button', 'size': 5, 'value': 'Авторизоваться через Twitter',
'onclick': 'twitterauth(\'%s?src=twitter\', \'%s\');' % (
reverse('my.views.new'), register['url'])},
]
#facebook
if source == 'fb':
pp = fbauth(request)
if pp:
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
fb_settings['redirect_uri'] = "%s%s?src=fb" % (HTTP_HOST, reverse('my.views.new'))
fb = FB(fb_settings)
url = fb.register()
fields = [
{'name': 'fbauth', 'type': 'button', 'size': 5, 'value': 'Авторизоваться через Facebook',
'onclick': 'facebookauth(\'%s\');' % url},
]
# forsquare
if source == 'fs':
callbackurl = "%s%s%%3Fsrc%%3Dfs" % (HTTP_HOST, reverse('my.views.new'))
pp = fsauth(request, callbackurl)
if pp:
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
fields = [
{'name': 'fsauth', 'type': 'button', 'size': 5, 'value': 'Авторизация через сайт Foursquare',
'onclick': 'foursquareauth(\'%s\');' % callbackurl},
]
#livejournal
if source == 'lj':
if request.POST:
pp = PostPlace()
pp.sn_type = SNType.objects.get(code='lj')
pp.user = request.user
pp.login = request.POST['user']
pp.password = md5.md5(request.POST['password']).hexdigest()
pp.save()
s = Sync()
s.source = pp
s.user = pp.user
s.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[s.id]))
fields = [
{'name': 'message', 'type': 'message', 'message': lj_notice},
{'name': 'user', 'type': 'text', 'size': 50, 'label': 'Lj user'},
{'name': 'password', 'type': 'password', 'size': 50, 'label': 'Password'},
{'name': 'feedsave', 'type': 'submit', 'value': 'Продолжить'},
]
return {'sn_types': sn_types, 'source': source, 'fields': fields}
if len(sys.argv) < 4:
print "Usage: main.py x y width height"
sys.exit(1)
cam = Camera(1, {'width': 640, 'height': 480})
roi = {'x': sys.argv[1], 'y': sys.argv[2], 'w': sys.argv[3], 'h': sys.argv[4]}
twitter_configuration = {
'consumer_key' : '9yHE3TdYv9cVbVi5tme6C76Gj',
'consumer_secret' : 'noaO55Ra6jxWHYX4HDAo24PRskms7L8ZWMerNEAEeNCdOlbmvI',
'access_token' : '383755446-jhC6SSZ0NoeEz9FSiiQ4SKB1SAZ3KtFUJ3Vzxpbl',
'access_token_secret' : 'yfYvmFgfTCCWiJKug9zM2Yde169XUx75Jyt9sxywTGxQj'
}
tweet = Tweet(twitter_configuration)
# globals
n = 60
buffer = []
avg = 0
threshold = 3
current_diff = 0
img = None
def count_white_pixels():
global img
img = cam.getImage()
img = img.crop(roi['x'], roi['y'], roi['w'], roi['h'])
img_edge = img.edges(50, 200)
img_mat = img_edge.getNumpy().flatten()
def sync(request, syncid):
errors = []
try:
sync = Sync.objects.get(pk=syncid)
except Sync.DoesNotExist:
return HttpResponseNotFound()
sn_types = SNType.objects.filter(read_only=False)
if request.POST:
sync.title = request.POST['synctitle']
sync.save()
for var in request.POST.keys():
test = re.findall("sync_target_id_(\d+)", var)
if test and test[0] and request.POST[var]:
pp = PostPlace.objects.get(pk=test[0])
pp.userid = request.POST[var]
pp.save()
for var in request.POST.keys():
test = re.findall("userid_(\d+)", var)
if test and test[0] and request.POST[var]:
pp = PostPlace.objects.get(pk=test[0])
pp.userid = request.POST[var]
pp.save()
if sync.source.sn_type.code == 'vk':
vk = VK(vk_settings)
groups = vk.VKGetGroups(sync.source.access_token)
if 'error' in groups:
raise Exception, groups['error']['error_msg']
if 'response' in groups:
groups = groups['response']
sync.source.sources = []
for i in range(1, len(groups)):
group = groups[i]
if group['is_admin']:
sync.source.sources.append({'id': group['gid'], 'name': group['name']})
if sync.source.sn_type.code == 'fb':
fb_settings['redirect_uri'] = "%s%s?src=fb" % (HTTP_HOST, reverse('my.views.new'))
fb = FB(fb_settings, code=sync.source.access_token)
sync.source.sources = []
try:
fb.login()
groups = fb.getGroups()
pages = fb.getPages()
except Exception:
pass
if groups:
for group in groups:
if 'administrator' in group:
sync.source.sources.append({'id': int(group['id']), 'name': 'Группа - ' + group['name']})
if pages:
for page in pages:
sync.source.sources.append({'id': int(page['id']), 'name': 'Страницы - ' + page['name']})
# for group in groups:
# if 'administrator' in group:
# sync.source.sources.append({'id': int(group['id']), 'name': group['name']})
destination = None
destinations_vk = []
destinations_fb = []
fields = None
if 'destination' in request.GET:
destination = request.GET['destination']
if destination == 'vk':
if request.POST and 'token' in request.POST:
pp = PostPlace()
pp.sn_type = SNType.objects.get(code='vk')
pp.user = request.user
pp.access_token = request.POST['token']
pp.save()
sync.destination.add(pp)
sync.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[sync.id]))
fields = [
{'name': 'vkauth', 'type': 'button', 'size': 5, 'value': 'Авторизация через сайт Vkontakte',
'onclick': 'vkontakteauth(\'%s%s\');' % (HTTP_HOST, reverse('my.views.syncvk', args=[sync.id]))},
]
if destination == 'twitter':
tw = Tweet(twitter_settings)
register = tw.register(
callbackurl="%s%s" % (HTTP_HOST, reverse('my.views.synctwitter', args=[sync.id])))
request.session['oauth_token_secret'] = register['data']['oauth_token_secret']
request.session['oauth_token'] = register['data']['oauth_token']
fields = [
{'name': 'twauth', 'type': 'button', 'size': 5, 'value': 'Авторизоваться через Twitter',
'onclick': 'twitterauth(\'%s\', \'%s\');' % (
reverse('my.views.synctwitter', args=[sync.id]), register['url'])},
]
if destination == 'fb':
fb_settings['redirect_uri'] = "%s%s" % (HTTP_HOST, reverse('my.views.syncfacebook', args=[sync.id]))
fb = FB(fb_settings)
url = fb.register()
fields = [
{'name': 'fbauth', 'type': 'button', 'size': 5, 'value': 'Авторизоваться через Facebook',
'onclick': 'facebookauth(\'%s\');' % url},
]
#livejournal
if destination == 'lj':
if request.POST:
pp = PostPlace()
pp.sn_type = SNType.objects.get(code='lj')
pp.user = request.user
pp.login = request.POST['user']
pp.password = md5.md5(request.POST['password']).hexdigest()
pp.save()
sync.destination.add(pp)
sync.save()
return HttpResponseRedirect(reverse('my.views.sync', args=[sync.id]))
fields = [
{'name': 'message', 'type': 'message', 'message': lj_notice},
{'name': 'user', 'type': 'text', 'size': 50, 'label': 'Lj user'},
{'name': 'password', 'type': 'password', 'size': 50, 'label': 'Password'},
{'name': 'feedsave', 'type': 'submit', 'value': 'Продолжить'},
]
if sync.destination.all():
for dest in sync.destination.all():
new_sn_types = []
for sn_type in sn_types:
if sn_type != dest.sn_type:
new_sn_types.append(sn_type)
sn_types = new_sn_types
if dest.sn_type.code == 'vk':
req = "https://api.vkontakte.ru/method/groups.get?access_token=%s&extended=1" % dest.access_token
resp = urllib2.urlopen(req)
groups = json.loads(resp.read())
if 'error' in groups:
errors.append({'dest_id': dest.id, 'message': groups['error']['error_msg']})
sync.destination.remove(dest)
if 'response' in groups:
groups = groups['response']
for i in range(1, len(groups)):
group = groups[i]
if group['is_admin']:
destinations_vk.append({'id': group['gid'], 'name': group['name']})
if dest.sn_type.code == 'fb':
groups = None
pages = None
fb_settings['redirect_uri'] = "%s%s" % (HTTP_HOST, reverse('my.views.syncfacebook', args=[sync.id]))
fb = FB(fb_settings, code=dest.access_token)
try:
fb.login()
groups = fb.getGroups()
pages = fb.getPages()
except Exception:
pass
if groups:
for group in groups:
if 'administrator' in group:
destinations_fb.append({'id': int(group['id']), 'name': 'Группа - ' + group['name']})
if pages:
for page in pages:
destinations_fb.append({'id': int(page['id']), 'name': 'Страница - ' + page['name']})
return {'sync': sync, 'sn_types': sn_types, 'destination': destination, 'fields': fields,
'destinations_vk': destinations_vk, 'destinations_fb': destinations_fb, 'errors': errors}
